SSPU uses SAE-derived subspaces to guide weight updates, lowering WMDP-Cyber accuracy by 3.22% more than RMU while largely preserving MMLU, TruthfulQA, and GSM8K performance.
URL https://aclanthology.org/2025.naacl-long.325/
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Model Unlearning via Sparse Autoencoder Subspace Guided Projections
SSPU uses SAE-derived subspaces to guide weight updates, lowering WMDP-Cyber accuracy by 3.22% more than RMU while largely preserving MMLU, TruthfulQA, and GSM8K performance.