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# Gradients Through Attention

Computing gradients through the attention mechanism is a core part of training transformers. Here's a breakdown:

## Forward Pass Recap

$$\text{Attention}(Q, K, V) = \u

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ordering AB envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope en_arrow (AB)envelope en_bare_or (AB)envelope en_bare_or_q (AB)envelope en_pipe (AB)envelope en_vs_q (AB)envelope fr_ou (AB)anchor view all 60 cells across efforts × anchors