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Di-Fan Zou

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#artificial intelligence Preprint Sep 2026

Less Sycophancy, Stronger Refusal? Lessons for AI Safety from Mechanistic Interpretability

Reliable refusal of harmful requests is essential to the safe deployment of language models. Because excessive eagerness to please users may undermine existing refusal capabilities, reducing sycophancy offers a potential route to stronger refusal beyond the harmful scenarios covered by safety training. We investigate t...

Xu Wang, Di-Fan Zou, Xuan-Sheng Wu · 0 citations
#artificial intelligence Preprint Sep 2026

Beyond Token Scale: Chunk-Level Sparse Autoencoders for Reliable Semantic Feature Discovery

A family of chunk-level SAEs that encode mean-pooled activations over chunks, each a contiguous span of tokens: Mean-Chunk reconstructs the observed chunk, Cross-Chunk predicts an independently processed neighbor, and Joint-Chunk combines both targets are introduced.

Xu Wang, Yi-Fan Yang, Ting-Ting Yu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Enhancing SAE-based Steering via Neighbor Integrated Feature Selection

This paper proposesNeighbor Integrated Feature Selection (NIFS), a plug-and-play strategy that leverages representation similarity to improve feature selection for steering and demonstrates consistent performance gains over conventional top-$k$ selection.

Yutang Liu, Xu Wang, Di-Fan Zou · 1 citation

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