interpret-experiment

You can generate an automated analysis report by matching a planned objective, success criteria, and hypotheses to produced artifacts from a completed experiment session. It reads session markers, plan files, and resolved runner configs to create a consolidated result.

Mechanistic interpretability experiment interpretation is the process of converting a causal abstraction research plan plus produced artifacts into a single, evidence-grounded report that scores hypotheses against actual analysis outputs.

You can compare results against a replication paper by providing optional paper context during experiment interpretation. The tool compares key metrics against the paper's reported findings and annotates discrepancy categories in the final report.

Yes, automated research reporting can embed figures by copying or symlinking curated figures into the session result folder. It then writes a consistent REPORT.md file with the figures embedded directly.

When an experiment plan does not match produced artifacts, the interpretation process records plan-vs-reality gaps. It discovers what actually ran from on-disk artifacts and logs these issues separately from the main report.

Yes, you need a completed run-experiment session before generating an experiment report. The reporting tool applies to completed sessions and reads session markers, plan files, and resolved runner configurations to function correctly.