Interp community debates whether sparse autoencoders are becoming irrelevant
neural_avb · x · 2026-10-27
neuralavb asks the mech interp community to corroborate claims that SAEs are losing relevance: learned concepts often misalign with human interests, linear probes work well when you know what to look for, and modern LLMs may be monosemantic enough to explore raw neuron space directly. livgorton counters that this is old news and SAEs are deprioritized due to short AGI timelines; thebasepoint says residual-stream SAEs remain a good map of representation space, but metamodel outputs are more precise for safety readouts.
Related event: Researchers Debate Whether SAEs Are Becoming Obsolete(4 posts)→
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