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TopicsMechanistic Interpretability AI Capability Evaluation

The original AxBench evaluation substantially underestimated the steering performance of sparse autoencoder features.

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This work serves as a partial rebuttal for Sparse Autoencoders and sug- gests that the results of Wu et al. (2025) did not do them full justice.

Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselinespreprintextraction 0.80

Jørgensen, Mikkel Godsk, Hansen, Lars Kai · arXiv.org · May 29, 2026 · original

Abstract; refers to AxBench paper's conclusion that even simple baselines outperform SAEs for steering.

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