Section 132 · Chapter 16, Introspection: White-Box Testing Networks
Concept MLP Neurons
Candidate concept neurons can be useful probes for ideas like privacy, security, uncertainty, or hallucination, but they are not magic meaning cells.
concept probeconcept mlp neurons
What to do
- Validate concept neurons with counterfactual datasets, ablations, activation patching, and slice labels.
- Do not promote a neuron to a production signal until it predicts something useful on held-out cases.
- Define runnable checks that exercise concept probe and concept mlp neurons.
Evidence to preserve
- Preserve the inputs, versions, configurations, raw outcomes, and results for concept probe, concept mlp neurons needed to reproduce work on Concept MLP Neurons.
- Report results for concept probe, concept mlp neurons by relevant slice, separate blocker failures from averages, state uncertainty and blind spots, and connect the result to a release decision.
Expert note
Validate concept neurons with counterfactual datasets, ablations, activation patching, and slice labels. Do not promote a neuron to a production signal until it predicts something useful on held-out cases.
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Cite this page
Jason Arbon. "Concept MLP Neurons." Testing AI Knowledge Edition, section 132.
https://jarbon.ai/testing-ai/knowledge/ch132-concept-mlp-neurons.html