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From Observation to Intervention: A Causal Audit of Expert Importance in Mixture-of-Experts Models
Interpretability methods routinely use population-level summary statistics over observed model behaviour to license claims about the effects of targeted interventions on specific computations; in Pearl's terms, they treat rung-1 associational evidence as if it supported rung-2 interventional conclus
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