Researcher Slams Mechanistic Interpretability as a 'Huge Missed Opportunity' Narrowed to Esoteric Neuron Studies
andrewgwils · x · 2026-11-01
Researcher Andrew G. Wils argues mechanistic interpretability was a huge missed opportunity: many wanted to join expecting a mechanistic understanding of generalization, but the field became a narrow, esoteric effort around individual neuron roles — a 'bait and switch.' He notes interpretability now means sparse autoencoders, influence functions, and saliency maps rather than interpretable methods, representations, or data understanding, calling it a recurring alignment-field pattern and 'a waste.'
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