#transformers
2 posts tagged #transformers.
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What an MLP Knows, When It's a Kernel
The transformer MLP is illegible because its primitive does not carry a kernel. Give it one and the four objects that make attention legible follow for free — for the whole network.
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Attention is Explainable Because it is a Kernel
Self-attention in transformers is a Nadaraya–Watson kernel smoother. That fact — and not "we visualize the matrix" — is why attention heads are readable while MLPs are not.