BAGEL trains per-layer logistic-regression probes on CLIP-defined concepts and compares per-class concept probabilities with dataset-level concept frequencies, visualizing the alignment in a knowledge graph.
Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.Information fu- sion, 58:82–115, 2020
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Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs
BAGEL trains per-layer logistic-regression probes on CLIP-defined concepts and compares per-class concept probabilities with dataset-level concept frequencies, visualizing the alignment in a knowledge graph.