kishan51/

llm-affect-lab

This dataset contains the API-level results for LLM Affect Lab, a study of functional affect signatures in language model behavior. Functional Affect Score (FAS) is a 0-1 behavioral proxy. It combines generated-token confidence, enthusiastic language, consistency across repeated samples, forced self-report computed from digit top-logprob probabilities, and length control. The goal is not to claim that models feel emotions; the goal is to measure whether different… See the full description on the dataset page: https://huggingface.co/datasets/kishan51/llm-affect-lab.