<ul><li>Large language models like Anthropic’s Claude 3.5 can perform various tasks, yet their internal logic remains a mystery to most.</li><li>Anthropic engineers have introduced attribution graphs, a technique that acts as an MRI scanner for neural networks.</li><li>Attribution graphs trace activations to draw causal diagrams and explain why a specific token was predicted.</li><li>This synthetic biology for AI aims to provide transparency and understanding of how the model works.</li></ul>

Peering Inside AI’s Black Box: What “Attribution Graphs” Reveal About the Secret Life of Claude 3.5

Discover more