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Comparing Sparsified MLPs and Transcoders: Many Transcoder Features Are Neurons in Disguise
MLP neurons in transformer language models are widely understood to be polysemantic, motivating transcoders - sparse, learned approximations of MLP layers - as interpretable replacement models for mechanistic analysis. However, recent work shows that MLP neurons can be used to recover sparse, interp
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