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pyvene/axbench-concept500

Concept500 for Supervised Dictionary Learning (SDL) Concept500 contains training and inference data for 500 concepts randomly sampled from the released GemmaScope concept list for Gemma-2-2B-it at layers 10 and 20, and Gemma-2-9B-it at layers 20 and 31. This is our main evaluation dataset used in the AxBench paper. Each subset comes with the following format: input: Instructions sampled from publicly available instruction-tuning datasets for three genres: text, code, and math. output: Model… See the full description on the dataset page: https://huggingface.co/datasets/pyvene/axbench-concept500

Author / organizationpyvene
License (as declared)cc-by-4.0
Downloads669 (as reported by Hugging Face)
Likes2
Created16 January 2025
Last updated at source24 January 2025
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