SuperAPI AI Directory

representation-probe-designer

Data & analytics

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Updated 10-15 23:43

About this skill

Representation Probe Designer

Probe structure, not just outputs.

Intake

Clarify:

  • which layer/embedding/state is being probed;
  • what property should be represented;
  • available labels or proxy labels;
  • suspected failure mode;
  • whether the probe is for diagnosis, paper evidence, or debugging.

Workflow

  1. Define the representation and target property.
  2. Choose minimal probes: linear probe, nearest-neighbor, clustering, retrieval, or collapse diagnostic.
  3. Add controls for trivial cues.
  4. Choose negative controls and random/label-shuffled baselines.
  5. Define what would count as meaningful structure.
  6. Recommend the smallest informative probe set.

Rules

  • A probe is evidence, not full explanation.
  • Control for capacity and leakage.
  • Prefer probes that distinguish two hypotheses over probes that merely look interesting.
  • Do not overinterpret a high-capacity probe as proof the base representation contains a simple feature.

Output

Return:

  • target representation and property;
  • probe plan;
  • controls;
  • interpretation rules;
  • failure modes and limits;
  • smallest next diagnostic.