Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
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Summary
Researchers propose using sparse autoencoders to extract model internals from large language models (LLMs) for post-training data engineering.
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| arXiv AI | Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders | 5/28/2026, 12:15:52 AM |
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