Unverified50% confidenceFactExact time
Traditional interpretability research has long assumed by default that the interior of neural networks is chaotic, redundant and entangled, and that researchers need to transform the network into human-readable rules through pruning, ablation, dismantling neurons and the like.
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10/16/2026
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