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matthewshu/scgpt-replogle-activations

scGPT activation captures on Replogle (base vs ESM) Per-cell layer-{5,7,10} hidden states from the two scGPT checkpoints in matthewshu/scgpt-replogle-base-ft and matthewshu/scgpt-replogle-esm-ft, captured over the same 72,100-cell balanced sample of the State-Replogle-Filtered dataset. Sample is balanced over (cell_line, gene) buckets at 25 cells per bucket. Intended for crosscoder diffing and other mechanistic-interpretability analyses comparing the two models on identical… See the full description on the dataset page: https://huggingface.co/datasets/matthewshu/scgpt-replogle-activations.

Author / organizationmatthewshu
License (as declared)other
Downloads219 (as reported by Hugging Face)
Likes0
Created3 May 2026
Last updated at source8 May 2026
single-cellperturbation-predictionscgptactivationsmechanistic-interpretabilitycrosscoder
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  • 17 Oct 2026 Description: scGPT activation captures on Replogle (base vs ESM) Per-cell layer-{5,7,10} hidden states from the two scGPT checkpoints in matthewshu/scgpt-replogle-base-ft and matthewshu/scgpt-replogle-esm-ft, captured over the same 72,100-cell balanced → scGPT activation captures on Replogle (base vs ESM) Per-cell layer-{5,7,10} hidden states from the two scGPT checkpoints in matthewshu/scgpt-replogle-base-ft and matthewshu/scgpt-replogle-esm-ft, captured over the same 72,100-cell balanced

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