Polysemanticity isn't a blocker: decoding a Colorado neuron with agent inspection
builderjaydub · x · 2026-10-17
An interpretability experiment: one neuron is not a clean monosemantic example, yet its primary function is clearly recognizing Colorado-related concepts. The author argues polysemanticity isn't necessarily a blocker to interpreting neurons—by spending compute and using agents to inspect activations, useful information can be decoded.
Notably, a single Python snippet containing the Tornado library fires this neuron strongly (>30% of max value), while many other snippets containing Tornado only produce moderate activations—showing agent-based inspection can separate the semantic core from incidental co-occurrence. Full report linked in the post.
Related event: Researchers Pinpoint Individual Neuron by Scanning 71.7M Training Documents(3 posts)→
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