Research
154d agoScaling Interpretability for LLMs
Understanding how large language models make decisions is essential for building trustworthy AI worldwide. Researchers dissect models using feature attribution, data attribution, and mechanistic analysis to trace predictions back to inputs, training data, and internal functions.
The Signal
Companies like OpenAI and Google apply these methods to ensure safer deployment across industries, inform policy makers, and support global collaboration on AI safety.