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Dataset · Hugging Face

juiceb0xc0de/smollm2-135m-instruct-SAE

Layer EV Mean L0 Recon Loss Dead % 0 0.9480 48.74 0.2074 0.0 1 0.9599 43.65 0.3298 0.0 2 0.9631 46.81 0.5021 0.0 3 0.9508 46.56 0.7462 0.0 4 0.9463 46.23 0.8936 0.0 5 0.9350 47.57 1.1605 0.0 6 0.9306 48.44 1.3838 0.0 7 0.9318 49.51 1.5446 0.0 8 0.9432 46.52 1.6598 0.0 9 0.9373 47.15 2.0706 0.0 10 0.9348 45.53 2.2983 0.0 11 0.9905 48.58 5.8113 0.0 12 0.9901 48.42 6.1039 0.0 13 0.9891 46.15 6.9692 0.0 14 0.9884 44.76 7.1844 0.0 15 0.9863 47.63 8.6521 0.0… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/smollm2-135m-instruct-SAE.

Author / organizationjuiceb0xc0de
License (as declared)mit
Downloads926 (as reported by Hugging Face)
Likes0
Created17 June 2026
Last updated at source18 June 2026
SAEmechinterpmechanistic-interpretabilitysparse-autoencodersmonosemanticityfeature-extractionsmollm2interpretabilityatlasdatasetneural-networkmodel-analysislayer-analysis
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