tim-lawson
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mlsae-pythia-160m-deduped-x4-k32

model_hub_mixin

pytorch_model_hub_mixin

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tim-lawson commited on Sep 9

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@@ -13,7 +13,7 @@ datasets:
 A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream
 activation vectors from every layer of
-[EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped)
 with an expansion factor of 4 and k = 32, over 1 billion tokens from
 [monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).

 A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream
 activation vectors from every layer of
+[EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped)
 with an expansion factor of 4 and k = 32, over 1 billion tokens from
 [monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).