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+ ---
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+ library_name: saelens
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+ ---
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+
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+ # SAEs for use with the SAELens library
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+
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+ This repository contains the following SAEs:
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+ - 333336576
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+ - 500002816
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+ - final_500002816
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+ - 166670336
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+
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+ Load these SAEs using SAELens as below:
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+ ```python
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+ from sae_lens import SAE
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+
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+ sae, cfg_dict, sparsity = SAE.from_pretrained("chanind/sae-gemma-2-2b-layer-1-multistage-tied-staged-l1", "<sae_id>")
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+ ```