These SAEs were trained on the outputs of each of the MLPs in EleutherAI/pythia-160m. We used 8.2 billion tokens from the Pile training set at a context length of 2049. The number of latents is 32,768.

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Dataset used to train EleutherAI/sae-pythia-160m-32k

Collection including EleutherAI/sae-pythia-160m-32k

Sparse Autoencoders

Collection

SAEs are tools for understanding the internal representations of neural networks. These can be loaded using https://github.com/EleutherAI/sae • 9 items • Updated Feb 26 • 2