Decoding Artificial Neural Networks

Researchers at Anthropic have been investigating the inner workings of generative AI systems, such as language models like chat GPT and Gemini, to understand how these systems generate outputs. By reverse engineering large language models, they aim to unravel the mysteries of neural networks. Using techniques like dictionary learning, they have identified specific combinations of artificial neurons that correspond to concepts ranging from burritos to potentially harmful biological weapons.