Disentangling InceptionV1 neurons via Hadamard product clustering

A new mechanistic interpretability method identifies monosemantic patterns by clustering the Hadamard product of a neuron's receptive field and its weights. Applying this to 1x1 convolutional neurons in InceptionV1 successfully isolated distinct activation clusters for cars, cats, dogs, and text characters.