A GNN trained across synthetic transformer-task pairs predicts held-out circuit edges with median AUROC 0.902, close to but below dedicated per-case methods ACDC and EAP-IG.
Graph Metanetworks for Processing Diverse Neural Architectures
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Can Graph Learning Learn Circuits?
A GNN trained across synthetic transformer-task pairs predicts held-out circuit edges with median AUROC 0.902, close to but below dedicated per-case methods ACDC and EAP-IG.