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Goodfire’s Nick Cammarata challenges the idea that neural networks pack unrelated concepts together, arguing their neurons are largely interpretable; his research essay presents a working hypothesis, with a technical paper to follow.

Goodfire’s original research heatmaps compare correlated input groups with independent controls in a toy neural network, across feature density and hidden-neuron counts.

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Nick Cammarata / Goodfire ↗ · Source dated

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