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Conditional Co-Ablation: Recovering Self-Repair Backups in Transformer Circuits

Gong, Zhiren et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Mechanistic interpretability seeks to explain transformer behavior through circuits: sets of internal components that causally support a behavior. However, self-repair creates a blind spot: ablating a primary component can activate a dormant backup, so a circuit that explains behavior in the intact
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