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Standard Top-K SAEs trained independently per layer, but with layer widths increasing similarly to the staircase structure. Layer multiplication factor is (8,16,24,32,40)

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Model size
216k params
Tensor type
F32
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Collection including davidquarel/topk-staircase-noshare.shakespeare_64x4