{"id":2183,"date":"2025-11-19T06:20:48","date_gmt":"2025-11-19T06:20:48","guid":{"rendered":"https:\/\/philippeadjiman.com\/blog\/?p=2183"},"modified":"2025-11-22T19:24:19","modified_gmt":"2025-11-22T19:24:19","slug":"gpt-from-scratch-6-coding-self-attention","status":"publish","type":"post","link":"https:\/\/philippeadjiman.com\/blog\/2025\/11\/19\/gpt-from-scratch-6-coding-self-attention\/","title":{"rendered":"GPT From Scratch #6: Coding Self Attention"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Welcome to Part 6 of our GPT From Scratch series, inspired by Karpathy\u2019s <a href=\"https:\/\/www.youtube.com\/watch?v=kCc8FmEb1nY\">Let&#8217;s build GPT: from scratch, in code, spelled out.<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Links to previous and upcoming posts of the series:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\"><a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/10\/24\/gpt-from-scratch-1-intro\/\">Part 1: Intro<\/a><\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/06\/gpt-from-scratch-2-the-training-set\/\">Part 2: The Training set<\/a>&nbsp;<\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/10\/gpt-from-scratch-3-the-bigram-model\/\">Part 3: The Bigram model<\/a>&nbsp;<\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/14\/gpt-from-scratch-4-the-mathematical-trick-behind-self-attention\/\">Part 4: The Mathematical Trick behind Self Attention<\/a><\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/15\/gpt-from-scratch-5-positional-encodings\/\">Part 5: Positional Encodings<\/a><\/li>\n\n\n\n<li class=\"\">Part 6: Coding Self-Attention (this post)<\/li>\n\n\n\n<li class=\"\"><a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/22\/gpt-from-scratch-7-building-a-gpt\/\">Part 7: Building a GPT<\/a><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">In <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/06\/gpt-from-scratch-2-the-training-set\/\">Part 2<\/a> we explained how to create a training set from Shakespeare&#8217;s works. <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/10\/gpt-from-scratch-3-the-bigram-model\/\">Part 3<\/a> introduced a basic bigram model, predicting the next character based solely on its predecessor. <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/14\/gpt-from-scratch-4-the-mathematical-trick-behind-self-attention\/\">Part 4<\/a> explained how a very clever matrix multiplication enables doing some operations (like average) on the previous character, in a very efficient way and <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/15\/gpt-from-scratch-5-positional-encodings\/\">Part 5<\/a> was about the positional encoding trick.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Now we\u2019ve reached a critical point of that series: the implementation of the self attention mechanism, which is at the very heart of the transformer architecture. The original paper by Google which introduced the Transformer architecture is called \u201c<a href=\"https:\/\/arxiv.org\/abs\/1706.03762\">Attention Is All You Need<\/a>\u201d for a reason.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">What is self-attention&nbsp;<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">In a separate post (not part of that series) called <a href=\"https:\/\/philippeadjiman.com\/blog\/2024\/11\/28\/decoding-transformers-the-neural-nets-behind-llms-and-more\/\">Decoding Transformers: The Neural Nets Behind LLMs and More<\/a>,&nbsp; I&#8217;m describing the history of transformers, why they were a game changer, and a deep dive on their main component: the self attention mechanism (that we\u2019ll implement now).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So, as a prerequisite, it is highly recommended to read it. But if you need to understand one thing about the intuition behind self attention, it is this:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The main purpose of the self attention mechanism is to adapt the vectors\/embeddings of the words based on the context of the sentence\/prompt. <\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If this sentence doesn&#8217;t sink in very well for you yet, read on and hopefully it will be clearer (and if not, please read the separate post i mentioned above).&nbsp;<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">How does it connect to the previous posts of that series?<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">As we explained in <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/06\/gpt-from-scratch-2-the-training-set\/\">Part 2<\/a>, section \u201cFraming the Prediction Task\u201d, our goal is to predict the next character, using the previous ones.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regardless of how complex you do it, the input\/output format is always the same: you start with a bunch of characters (the \u201ccontext\u201d or \u201cprompt\u201d), you do some calculation that outputs a vector called the <strong>logits<\/strong> , that is the size of your vocabulary (in our case 65, which is the number of distinct characters), that you ultimately transform (using the softmax function) into probabilities that allows you to pick the next character.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/10\/gpt-from-scratch-3-the-bigram-model\/\">part 3<\/a>, we introduced how to compute those logits using only the single previous character as the context (which is obviously very limited), using a bigram model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Now we want to use <strong>all<\/strong> the previous characters (that we can call \u201cthe context\u201d, or even, the \u201cprompt\u201d) in order to predict the next one. Self attention will provide us a way to do it in a very smart, massively parallel and effective way, by combining the embeddings of each previous character in a way that is putting more weight on the relevant characters.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s visualize at a very high level the steps showing how the next character is generated at <strong>prediction<\/strong> time (once we already learned the weights of the models):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">It starts with the prompt (in the example below, three letters V, E, and R), with embeddings of size 4 each<\/li>\n\n\n\n<li class=\"\">Then self attention does its \u201ccontextualization magic\u201d on the embeddings, producing \u201cContextualized Embeddings\u201d<\/li>\n\n\n\n<li class=\"\">We then end up with an additional linear layer and softmax to give each character of our vocabulary a probability of being the next character (in our case, it is 65 characters, each one getting its probability).&nbsp;<\/li>\n\n\n\n<li class=\"\">Then the predicted next character is sampled according to those probabilities, and in our example the character B is picked, which seems a logical result when the prompt was VER, thus forming the word VERB.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"873\" height=\"1024\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-76.png?resize=873%2C1024&#038;ssl=1\" alt=\"\" class=\"wp-image-2191\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-76.png?resize=873%2C1024&amp;ssl=1 873w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-76.png?resize=256%2C300&amp;ssl=1 256w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-76.png?resize=768%2C900&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-76.png?w=928&amp;ssl=1 928w\" sizes=\"auto, (max-width: 873px) 100vw, 873px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">As we said, this is at prediction time. At training time, we\u2019re doing it on a bunch of B examples in parallel, and we\u2019re learning relevant weights. Let\u2019s dive into it, deciphering self-attention code, line by line, and understand how it connects at training and prediction time.&nbsp;<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Deciphering self-attention code, line by line&nbsp;<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">The main diagram illustrating what is happening in self-attention is the one below (originally from <a href=\"https:\/\/www.youtube.com\/watch?v=g2BRIuln4uc&amp;list=PPSV\">this great video<\/a>), where the learned weights (during the training process) are the matrices M<sub>k<\/sub> , M<sub>q<\/sub> and M<sub>q <\/sub>. Again, best is to read the detailed explanations in <a href=\"http:\/\/google.com\/url?q=https:\/\/philippeadjiman.com\/blog\/2024\/11\/28\/decoding-transformers-the-neural-nets-behind-llms-and-more\/&amp;sa=D&amp;source=docs&amp;ust=1756103216364678&amp;usg=AOvVaw3l2dW1Hdy7CumjI0-KniOb\">my post<\/a> , but in a nutshell:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Taking our example above, we have 3 characters in the context<\/li>\n\n\n\n<li class=\"\">V<sub>2<\/sub> represents the embeddings of the second character (in our example above it is <img decoding=\"async\" loading=\"lazy\" width=\"272\" height=\"20\" 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\">).<\/li>\n\n\n\n<li class=\"\">V<sub>2<\/sub> ends up being y<sub>2<\/sub> which is simply a weighted version of V<sub>2<\/sub> using all the other characters of the context as normalized weights.<\/li>\n\n\n\n<li class=\"\">The M<sub>k<\/sub> , M<sub>q<\/sub> and M<sub>v<\/sub> matrices represent <strong>K<\/strong>eys, <strong>Q<\/strong>ueries and <strong>V<\/strong>alues, and will be the learned weights on the process.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"565\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-81.png?resize=1024%2C565&#038;ssl=1\" alt=\"\" class=\"wp-image-2196\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-81.png?resize=1024%2C565&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-81.png?resize=300%2C166&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-81.png?resize=768%2C424&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-81.png?resize=1536%2C848&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-81.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">So here is how Karpathy implements this self attention layer:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"610\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-83.png?resize=1024%2C610&#038;ssl=1\" alt=\"\" class=\"wp-image-2198\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-83.png?resize=1024%2C610&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-83.png?resize=300%2C179&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-83.png?resize=768%2C457&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-83.png?resize=1536%2C915&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-83.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Wow. Barely 20 lines of code, but maybe the most important 20 lines of the AI revolution.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A lot to unpack. Let\u2019s dive in and explain it all, line by line.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">First, the main object that we\u2019ll manipulate in that code (the variable x in the code) is our good old batch of size BxTxC (as explained in Part 2, section \u201cthe logits\u201d).&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"468\" height=\"588\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-69.png?resize=468%2C588&#038;ssl=1\" alt=\"\" class=\"wp-image-2184\" style=\"width:298px;height:auto\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-69.png?w=468&amp;ssl=1 468w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-69.png?resize=239%2C300&amp;ssl=1 239w\" sizes=\"auto, (max-width: 468px) 100vw, 468px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">As a reminder, each line there are <strong>T<\/strong> consecutive characters (a.k.a an example) from the training set, and each such character is associated with its embeddings (an array of numbers of fixed size <strong>C<\/strong>), and you have <strong>B<\/strong> such examples in the batch.<\/li>\n\n\n\n<li class=\"\">In the init, you have the initialization of the learnable weights of the transformer, namely the key, query and value. More details and intuitions on what they mean in my <a href=\"https:\/\/philippeadjiman.com\/blog\/2024\/11\/28\/decoding-transformers-the-neural-nets-behind-llms-and-more\/\">other post<\/a> but in high level:<\/li>\n\n\n\n<li class=\"\">Each token (in our case a character) in the batch will emit three vectors, the key, the query and the value:\n<ul class=\"wp-block-list\">\n<li class=\"\">The query represents: \u201cwhat am i looking for\u201d<\/li>\n\n\n\n<li class=\"\">The key represents: \u201cwhat do i contain\u201d<\/li>\n\n\n\n<li class=\"\">The value is \u201cwhat i will communicate\u201d&nbsp;<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\">Note the dimension of those. E.g. key is a linear layer of dimension (n_embed,head_size) where n_embed is just <strong>C<\/strong> and head_size is a hyperparameter that can be set during hyperparameter tuning at training time.<\/li>\n\n\n\n<li class=\"\">Let&#8217;s now explain the forward function line by line.&nbsp;<\/li>\n\n\n\n<li class=\"\"><img decoding=\"async\" loading=\"lazy\" width=\"197\" height=\"27\" 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\">is simply about getting the important dimension of our batch x , that we explained just above<\/li>\n\n\n\n<li class=\"\"><img decoding=\"async\" loading=\"lazy\" width=\"339\" height=\"53\" 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\">\n<ul class=\"wp-block-list\">\n<li class=\"\">First, let\u2019s understand the dimensions there. The dimensions of x are B,T,C (in the example above B=8, T=3 and C=4). Think of it as BxT vectors, each of dimension (1,C)&nbsp; .&nbsp;<\/li>\n\n\n\n<li class=\"\">What key(x) does, is a matrix multiplication between each of those BxT vectors and the same tensor: key (where key is one of the learned weights as explained above). key is dimension (C,head_size).<\/li>\n\n\n\n<li class=\"\">So, when you multiply BxT vectors of dimension (1,C) with a matrix ( key ) of dimension (C,head_size) , you end up with BxT vectors of dimension (1,head_size), and thus a tensor of dimension (B,T,head_size) .<\/li>\n\n\n\n<li class=\"\">Note that in his comment, Andrej Karpathy wrote (B,T,C) , but he did a small typo and meant (B,T,head_size)<\/li>\n\n\n\n<li class=\"\">The exact same thing happens with the query object . query(x) produces a tensor of dimension (B,T,head_size) .<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\">So basically, what you have in hand now are two tensors , k and q, each of dimension (B,T,head_size)&nbsp; .&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"53\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-71.png?resize=1024%2C53&#038;ssl=1\" alt=\"\" class=\"wp-image-2186\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-71.png?resize=1024%2C53&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-71.png?resize=300%2C16&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-71.png?resize=768%2C40&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-71.png?resize=1536%2C80&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-71.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">This line hides quite a lot of magic behind the scene. Let\u2019s unpack it.<\/li>\n\n\n\n<li class=\"\">Each line in the batch of examples is like a sentence of <strong>T<\/strong> tokens, and for each such sentence, you\u2019d like to create an affinity matrix between each token. This matrix is of size TxT .&nbsp;<\/li>\n\n\n\n<li class=\"\">The way to create this affinity matrix is to do a dot product between the keys and queries of each of those tokens, that are represented by&nbsp; k and q .<\/li>\n\n\n\n<li class=\"\">For doing a dot product between two tensors of dimension (B,T,head_size) , you have to switch the two last dimensions of the second tensor. This is what <img decoding=\"async\" loading=\"lazy\" width=\"203\" height=\"20\" 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\">does. As a reminder, the symbol &#8220;@&#8221; in pytorch does tensor multiplication.<\/li>\n\n\n\n<li class=\"\">You end up with a tensor of dimension (B,T,T) as explained in the comment <img decoding=\"async\" loading=\"lazy\" width=\"313\" height=\"21\" src=\"data:image\/png;base64,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\"><\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">As for the&nbsp; <img decoding=\"async\" loading=\"lazy\" width=\"102\" height=\"27\" 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\">part, this is just a scaling trick, and I explain the intuition behind it in my other <a href=\"https:\/\/philippeadjiman.com\/blog\/2024\/11\/28\/decoding-transformers-the-neural-nets-behind-llms-and-more\/\">blog post<\/a> (look for \u201cscaling embeddings\u201d).<\/li>\n\n\n\n<li class=\"\">Btw, this line of code can be represented mathematically by this formula: <img decoding=\"async\" loading=\"lazy\" width=\"44\" height=\"47\" src=\"data:image\/png;base64,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\"><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"174\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-77.png?resize=1024%2C174&#038;ssl=1\" alt=\"\" class=\"wp-image-2192\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-77.png?resize=1024%2C174&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-77.png?resize=300%2C51&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-77.png?resize=768%2C131&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-77.png?resize=1536%2C261&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-77.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">This part might be intimidating, but in fact, it is highly similar to what we introduced in <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/14\/gpt-from-scratch-4-the-mathematical-trick-behind-self-attention\/\" data-type=\"link\" data-id=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/14\/gpt-from-scratch-4-the-mathematical-trick-behind-self-attention\/\">part 4<\/a> of this series : The Mathematical Trick Behind Self Attention.&nbsp;<\/li>\n\n\n\n<li class=\"\">The main difference is that now we\u2019re not multiplying our batch with a simple triangular matrix (which would do only a simple average).&nbsp;<\/li>\n\n\n\n<li class=\"\">We\u2019re now multiplying by the weights that resulted in the dot product of all the tokens in the example! But otherwise the mathematical trick is exactly the same.<\/li>\n\n\n\n<li class=\"\">Let that sink in for a second. When we multiplied the queries and the keys, what we got is the affinity matrix between each token of the examples, giving one TxT matrix per example in the batch.<\/li>\n\n\n\n<li class=\"\">This TxT matrix represents the affinities between each token, and thus by applying the mathematical trick, <strong>we\u2019re transforming the embedding of each token, into a weighted average, the weight being the affinity scores<\/strong>.<\/li>\n\n\n\n<li class=\"\">The only differences you might notice from the mathematical trick are:\n<ul class=\"wp-block-list\">\n<li class=\"\">The dropout, which is well known simple trick to prevent neural networks from overfitting<\/li>\n\n\n\n<li class=\"\">We don\u2019t multiply the wei tensor directly with x, but with value(x) where value is also a learned linear layer (see the init function) is simply an additional layer on top of the key*query raw affinity score.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"\"><strong>Bottom line:&nbsp; <\/strong>Each token embedding, of each example of the batch, is now transformed into a weighted version, with the weights being the affinities between each tokens. Which is exactly what was illustrated in the diagram above<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"732\" height=\"100\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-70.png?resize=732%2C100&#038;ssl=1\" alt=\"\" class=\"wp-image-2185\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-70.png?w=732&amp;ssl=1 732w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-70.png?resize=300%2C41&amp;ssl=1 300w\" sizes=\"auto, (max-width: 732px) 100vw, 732px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">And that can be also captured in that one formula, which is at the center of the initial paper Attention is all you need that introduced it all:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"185\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-72.png?resize=1024%2C185&#038;ssl=1\" alt=\"\" class=\"wp-image-2187\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-72.png?resize=1024%2C185&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-72.png?resize=300%2C54&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-72.png?resize=768%2C139&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-72.png?resize=1536%2C277&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-72.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Interpreting self-attention as a communication mechanism&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Karpathy made a very interesting note about how to think about self attention.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In some sense, each token (in our case, character) has some vector of information (the embeddings) and has to aggregate it via a weighted sum from all the other tokens that are connected to it. This weighted sum can be interpreted as a kind of communication between each token.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It can even be seen as a directed graph, where each token points to itself and all the previous tokens. For our 8 characters it can look like this (graph created with graphviz, with code created by Gemini).<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"338\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-73.png?resize=1024%2C338&#038;ssl=1\" alt=\"\" class=\"wp-image-2188\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-73.png?resize=1024%2C338&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-73.png?resize=300%2C99&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-73.png?resize=768%2C253&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-73.png?w=1462&amp;ssl=1 1462w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Note that it is only because we\u2019re an autoregression setting, where each character can only see the previous characters (the prompt) that a node cannot point to another one further in the sequence, but in other settings (where you\u2019re e.g. allowed to see the whole sentence, like for analyzing a text for sentiment or anything else) then you could have a full connected graph, and every token can communicate with any other.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Connecting it all to our model<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">In <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/10\/gpt-from-scratch-3-the-bigram-model\/\">part 3<\/a>, we explained the bigram model. Now that we have the implementation of a self attention head, we can replace the basic embeddings table that we had in the bigram model by:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1. The positional encoding trick (explained in <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/15\/gpt-from-scratch-5-positional-encodings\/\">part 5<\/a>)&nbsp; and&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. the attention head described above.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It gives this:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"704\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-79.png?resize=1024%2C704&#038;ssl=1\" alt=\"\" class=\"wp-image-2194\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-79.png?resize=1024%2C704&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-79.png?resize=300%2C206&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-79.png?resize=768%2C528&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-79.png?w=1312&amp;ssl=1 1312w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">By now, this code should look much more self explained to you:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">It is the exact same structure as the bigram model (see <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/10\/gpt-from-scratch-3-the-bigram-model\/\">Part 3<\/a>)<\/li>\n\n\n\n<li class=\"\">In the init we add the position embedding table (see <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/15\/gpt-from-scratch-5-positional-encodings\/\">Part 5<\/a>)<\/li>\n\n\n\n<li class=\"\">We also add a layer normalization layer (we\u2019ll explain that in our next post)<\/li>\n\n\n\n<li class=\"\">And a final linear layer of dimension (n_emb, vocab_size) so we end up with logits&nbsp;&nbsp;<\/li>\n\n\n\n<li class=\"\">About the last few lines, the targets variable is None when the model is invoked for prediction\/inference (and not for training), more details on that in the next section.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s draw the dimensions of the forward pass to see how things work out very nicely.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"827\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-78.png?resize=1024%2C827&#038;ssl=1\" alt=\"\" class=\"wp-image-2193\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-78.png?resize=1024%2C827&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-78.png?resize=300%2C242&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-78.png?resize=768%2C620&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-78.png?w=1468&amp;ssl=1 1468w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">From there, what you do next really depends on whether you are in the training phase (i.e. tuning the actual parameters of the model) or in the inference phase (i.e. actually predicting the next character). Let\u2019s detail that difference as it is important.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Training vs. Inference<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Both in training and inference, the key element that you need are the logits, which are the raw predictions (one number per possible prediction, in our case, vocab_size numbers). Let\u2019s see how those logits are used in Training vs. Inference phase.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Training<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In that phase, your goal is to tune the parameters of the model. As explained above, the parameters are the <strong>Keys<\/strong>, <strong>Queries<\/strong> and <strong>Values<\/strong>. In deep learning, the way you tune those is via backpropagation. To do backpropagation, you need two things: the logits, the labels (or targets) and a loss function. This is all captured in those few lines from the previous snippet.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"217\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-74.png?resize=1024%2C217&#038;ssl=1\" alt=\"\" class=\"wp-image-2189\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-74.png?resize=1024%2C217&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-74.png?resize=300%2C64&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-74.png?resize=768%2C163&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-74.png?resize=1536%2C325&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-74.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The details of how those few lines beautifully work is detailed in one of my \u201cDeep Learning Gymnastics\u201d posts: <a href=\"https:\/\/philippeadjiman.com\/blog\/2024\/03\/09\/deep-learning-gymnastics-4-master-your-llm-cross-entropy\/\">Master Your (LLM) Cross Entropy<\/a> . Below is an excerpt from that post. Read it fully for more details.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"784\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-75.png?resize=1024%2C784&#038;ssl=1\" alt=\"\" class=\"wp-image-2190\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-75.png?resize=1024%2C784&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-75.png?resize=300%2C230&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-75.png?resize=768%2C588&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-75.png?w=1400&amp;ssl=1 1400w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">From there, the training loop to fine tune the weights from backpropagation is rather straightforward:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"369\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-80.png?resize=1024%2C369&#038;ssl=1\" alt=\"\" class=\"wp-image-2195\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-80.png?resize=1024%2C369&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-80.png?resize=300%2C108&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-80.png?resize=768%2C277&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-80.png?resize=1536%2C554&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-80.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The get_batch function is what we explained in <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/06\/gpt-from-scratch-2-the-training-set\/\">Part 2: The Training Set<\/a> .<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Inference<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Once your model was trained and that your keys, queries, values and other parameters like embeddings have the proper weights learned from backpropagation, you can start actually doing inference, which in our case corresponds to generating Shakespeare text, one character at a time. The code to do it was presented in part 3, and we\u2019ll put it again here for completeness:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"1024\" height=\"435\" loading=\"lazy\" src=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-82.png?resize=1024%2C435&#038;ssl=1\" alt=\"\" class=\"wp-image-2197\" srcset=\"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-82.png?resize=1024%2C435&amp;ssl=1 1024w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-82.png?resize=300%2C127&amp;ssl=1 300w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-82.png?resize=768%2C326&amp;ssl=1 768w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-82.png?resize=1536%2C652&amp;ssl=1 1536w, https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/image-82.png?w=1600&amp;ssl=1 1600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Wow, we now deeply understand how one of the most important pieces of code of gen AI revolution is working!<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But to achieve the actual end-goal (of this series) of building a GPT, there are a bunch of very important optimizations that will take the loss to new heights (well, maybe \u201ccanyon\u201d is a better term, as the lower the loss, the better).&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s now dive into the grand final part of this series: <a href=\"https:\/\/philippeadjiman.com\/blog\/2025\/11\/22\/gpt-from-scratch-7-building-a-gpt\/\">Building a GPT<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This is where we get to understand the ~20 most important and impactful lines of code which started the gen AI revolution. <\/p>\n","protected":false},"author":1,"featured_media":2200,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[18,46,14],"tags":[48,47,49],"class_list":["post-2183","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-deep-learning","category-gpt","category-pytorch","tag-deep-learning","tag-gpt","tag-pytorch"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/philippeadjiman.com\/blog\/wp-content\/uploads\/2025\/11\/gpt-6.png?fit=510%2C280&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/posts\/2183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/comments?post=2183"}],"version-history":[{"count":6,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/posts\/2183\/revisions"}],"predecessor-version":[{"id":2256,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/posts\/2183\/revisions\/2256"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/media\/2200"}],"wp:attachment":[{"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/media?parent=2183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/categories?post=2183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/philippeadjiman.com\/blog\/wp-json\/wp\/v2\/tags?post=2183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}