Anthropic researchers have unveiled a method to interpret the inner workings of its large language model, Claude Sonnet, by mapping out millions of features corresponding to a diverse array of concepts. This interpretability could lead to safer AI by allowing specific manipulations of these features to steer model behaviors. The study demonstrates a significant step in understanding and improving the safety mechanisms of AI language models.