"Unveiling the Inner Workings of AI: Insights into LLM Neural Networks"

Anthropic's new research offers insight into the inner workings of LLMs, using a method to extract interpretable features from the neural network. By analyzing the activation of specific neurons in response to queries, the research reveals how concepts are represented across multiple neurons and languages. This process creates a rough conceptual map of the LLM's internal states, showing how it links keywords and concepts and organizes them based on semantic relationships. The study also demonstrates how identifying specific LLM features can help map out the chain of inference the model uses to answer complex questions.