Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering

Marco Valentino, Geonhee Kim, Dhairya Dalal +2

Large language models (LLMs) exhibit reasoning biases, often conflating content plausibility with formal logical validity. This can lead to wrong inferences in critical domains, wh…