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README.md
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library_name: mlsae
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license: mit
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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---
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library_name: mlsae
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license: mit
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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datasets:
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- monology/pile-uncopyrighted
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---
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# mlsae-pythia-70m-deduped-x256-k32
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A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream
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activation vectors from every layer of
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[EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped)
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with an expansion factor of 256 and k = 32, over 1 billion tokens from
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[monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).
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For more details, see:
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- Paper: <https://arxiv.org/abs/2409.04185>
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- GitHub repository: <https://github.com/tim-lawson/mlsae>
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- Weights & Biases project: <https://wandb.ai/timlawson-/mlsae>
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