Garg formalizes probe interpretation by partitioning available information into a restricted baseline O and additional evidence X used to infer a latent variable Z.
Probe accuracy has no fixed meaning without a floor and ceiling
Garg proposes anchoring probe scores between a baseline and an information-theoretic ceiling to separate computation from artifact.
Independent
Pranjal Garg
Research Digest··3 min read
Garg introduces a normalization framework for interpretability probes, defining a floor from declared simple inputs and a ceiling from all available information, with the gap between them as the headroom a probe can explain.
Why this paper
Independent
In one line
Probe scores require normalization against a floor and ceiling to reveal whether a model truly computes beyond simple inputs.
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