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# Attention Weights in Neural Networks

Attention weights determine how much each part of the input "matters" when producing an output. Here's the core idea:

## The Basic Mechanism (Scaled Dot-Produc

neighbors

ordering ABenvelope chinese_casual (AB)envelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope de_oder (AB)envelope en_arrow (BA)envelope en_bare_or (AB)envelope en_bare_or_p (AB)anchor view all 60 cells across efforts × anchors