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Graph-Regularized Sparse Autoencoders for LLM Safety Steering
Graph-Regularized Sparse Autoencoders smooth SAE decoder vectors over a neuron co-activation graph to learn safety-steering directions, improving selective refusal by over 16 points across jailbreak benchmarks while preserving benign performance and generalizing across models.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5