Research
153d agoScaling Interpretability for Large Language Models
Researchers at BAIR explore scalable methods to map feature, data, and mechanistic interactions in large language models, offering a clearer view of how these systems learn and decide.
The Signal
By revealing hidden patterns, the work supports safer AI deployment worldwide, guiding developers and regulators to build more transparent, trustworthy models across industries.