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Kenny Peng

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#artificial intelligence Preprint Oct 2026

A Testable Theory of Atomic Features

We develop and test a theory of language model representations in which there exist atomic features. Our main theoretical insight is that in such a model, sparse dictionaries (e.g., SAEs) of increasing size recover an increasing prefix of the most prevalent atoms in the training data. This"recovery principle"yields thr...

Kenny Peng, Jon M. Kleinberg, Nikhil Garg · 0 citations

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