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News/Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens
arxiv
PublishedSeptember 3, 2026 at 4:00 AM
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Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens

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arXiv:2609.01936v1 Announce Type: cross Abstract: A language model's prediction of its next token develops across layers, and lens methods track this process by decoding intermediate hidden states into tokens. But a lens reading reflects both the hidden state and the readout (the unembedding matrix)

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