arxiv
PublishedJune 1, 2026 at 4:00 AM
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Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
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arXiv:2605.31183v1 Announce Type: cross Abstract: Sparse Autoencoders (SAEs) have been seen as a promising avenue for exploring the internals of Large Language Models (LLMs) and for steering model output generation. When AxBench - a model steering benchmark - was introduced in Wu et al. (2025), SAEs
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Originally published on arxiv ↗