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Reasoning unlocks factual knowledge in LLMs, but beware: hallucinated reasoning steps can poison the well.
Forget sparse autoencoders: semi-nonnegative matrix factorization directly dissects MLP activations into human-interpretable features that causally steer LLMs better.
