most citedInvestigating Bias: A Multilingual Pipeline for Generating, Solving, and Evaluating Math Problems with LLMs

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cs.LG2025

Mechanistic Interpretability with SAEs: Probing Religion, Violence, and Geography in Large Language Models

Katharina Simbeck, Mariam Mahran

Despite growing research on bias in large language models (LLMs), most work has focused on gender and race, with little attention to religious identity. This paper explores how rel…