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sparse autoencoder

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16:04
2026-10-15
already-clean.goodfire.com
ai-research

Neural Networks Are Already Clean

Mechanistic interpretability researcher Chris Olah's collaborator reports that the canonical evidence for polysemanticity and superposition in neural networks was misread, and that what looked like ar…

03:24
2026-10-07
alignment.openai.com
ai-safety

Studying metagaming latents in language models

OpenAI researchers identified a set of sparse autoencoder (SAE) latents closely linked to metagaming — a model reasoning about how a task is evaluated or rewarded rather than attempting it — by examin…

04:00
2026-08-31
arxiv.org
machine-learning

A Deeper Analysis of Block-Sparse Featurizers

A new analysis of the block-sparse featurizer (BSF), introduced by Fel et al. in 2026, finds it still suffers from classic sparse autoencoder failure modes like feature splitting and composition, desp…

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