Research
153d agoScaling Interpretability for Global LLMs
Understanding LLMs behavior at scale is essential for building safer, more trustworthy AI worldwide. Researchers at BAIR dissect models through feature, data, and mechanistic attribution, revealing how inputs, training examples, and internal modules shape predictions.
The Signal
These insights guide developers and regulators, fostering transparency and accountability across the AI ecosystem and innovation.