benchmark-mech-interp-analysis

To plan mechanistic analysis for validated benchmarks, outline feature hypotheses, select localization probes, and design initial experiments. This workflow generates phase-03 artifacts including analysis plans, experiment specs, and triage documentation.

Feature-hypothesis generation from latent labels creates testable predictions about model internals. It forms the foundation of mechanistic analysis by mapping latent label families to targeted probing and readout strategies.

Design a risk-aware experiment by defining an evidence ladder, selecting appropriate controls, and specifying probe methods for each label family. This approach ensures robust localization and readout validation.

Yes, this workflow specifically produces phase-03 artifacts such as mechanistic analysis plans, hypotheses, experiment specifications, controls, and triage documentation for validated benchmark programs.

Select probes and readouts by matching methods to specific latent label families within your benchmark. This targeted selection ensures accurate feature localization and supports evidence ladder validation.

Yes, validated benchmarks are required prerequisites. The mechanistic analysis workflow builds directly upon these validated programs to structure hypotheses, strategy, and experiment plans effectively.