Author

Zijun Yao

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Preprint Aug 2026

SAEVerbalizer: Generating Explanations for Sparse Autoencoder Features via Representation Verbalization

Sparse autoencoders (SAEs) are proposed to extract numerous features from large language model (LLM) representations, yet explaining these features still relies primarily on external observation. This reliance leads to superficial explanations inferred from observed model behavior and computational inefficiency from co...

Weihang Meng, Hongzhu Guo, Yi Jing et al. · 0 citations

#natural language process... Preprint Sep 2026

From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

Results support a qualified internalized-search reading: under the recipe the authors test, much of the measured RL gain corresponds to a change in sampling efficiency toward operating points the base model can already reach under search.

Wen-He Sun, Cun-Xiang Wang, Zi-Jun Yao et al. · 0 citations

#artificial intelligence Jul 2026

Where Steering Signals Come From: Activation Source Selection in Activation Steering

Tail subtraction is introduced, which removes shared prompt and continuation semantics from boundary states and yields cleaner, more stable steering signals, and suggests that steering depends on representations of what the model is about to do, not merely on what has already appeared.

Jiaran Ye, Lingxu Ran, Zijun Yao et al. · arXiv.org · 2 citations