Dan Shipper mocks interpretability hype: a neuron firing for the Eiffel Tower won't tell you what the model is planning
danshipper · x · 2026-10-16
- A heated X debate over mechanistic interpretability: the quoted post ridicules the take that "polysemanticity made interpretability seem hard, but big networks have single neurons after all," calling such findings an utterly primitive playground compared to actually understanding how a mind thinks.
- Dan Shipper quotes and parodies it Good Will Hunting-style: you just read about polysemanticity, so you equate interpretability with untangling superposition; soon you'll claim we can align superintelligence because we know when it's thinking about France — until you realize recognizing the Eiffel Tower says nothing about what the model is planning.
- Core dispute: whether single-neuron feature discovery is a viable starting point for alignment or merely the absolute first step.
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