Ablation studies
Test which components contribute under controlled changes
Ablation studies remove, replace or vary components of a system to assess their contribution under a defined evaluation protocol. Components may be features, objectives, data sources or architectural choices. Retraining an altered model answers a different question from disabling a component at inference. Interactions and changed parameter or compute budgets complicate simple one-at-a-time comparisons.
Choose ablation when a complex artefact works but its claimed mechanisms or components need testing, with enough compute to train meaningful controls and evaluate them consistently.
Strengths
- Tests whether claimed contributions matter empirically
- Can expose unnecessary complexity and interactions
Limitations
- Poorly retuned controls can unfairly favour the full system
- Removing a component can change several properties simultaneously
Know the boundary
A performance drop after removal does not prove that the component implements the proposed psychological or causal mechanism.