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Beyond Self-Attention: How a Small Language Model Predicts the Next Token
A deep dive into the internals of a small transformer model to learn how it turns self-attention calculations into accurate predictions for the next token.
Andrej karpathy
Jeremy kun
Network outputs
Block structure
Proposal in action
Transformer output
Feed forward network outputs
Procedure setup
First block
Why does
Vector addition
Transformer block structure
Token subspaces
Singular value decomposition
Subspace approximations
All together
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