arxiv
PublishedOctober 8, 2026 at 4:00 AM
Local Sparsity Enables Unsupervised LLM Safety Detection
Publisher summary· verbatim
arXiv:2609.20129v2 Announce Type: replace-cross Abstract: Deployment-time safety methods for large language models (LLMs) are predominantly supervised and assume access to unsafe training data. Nevertheless, new attacks and harm categories regularly arise, not captured by models trained in such a su
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Originally published on arxiv ↗