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@TamazGadaev: day 10/n (series on fundamental texts for AI researchers - not specific papers so much as pieces that hand you a lens f…

X AI KOLs Timeline · 2026-07-14 Cached

Toy Models of Superposition by Elhage et al. explains why interpretability is hard: models represent more features than dimensions via superposition, leading to polysemantic neurons as compression. This paper spawned the sparse autoencoder research program.

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