Attribution Graph
A graph tracing which internal features caused a model’s output, used to reverse-engineer its reasoning.
An attribution graph is an interpretability artifact: nodes are internal features the model computed, edges are the causal influence between them, and the graph traces how the input flowed through features to produce a specific output. It turns “the model said X” into a mechanistic account of which concepts fired and drove the answer.