concept
active
concept:interpretability

interpretability

The capability to explain model predictions; a central theme of the paper, with disruption profiles as vehicle.

Neighborhood — ranked by edge-count

Concepts (1)

concept
  • Cases where subspace interventions change model behaviour through parallel pathways rather than the target feature

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Method using large language models (Claude) to generate and test explanations of features at scale
  • Proposed paradigm for evaluating interpretability work through empirical falsifiability rather than benchmarks or user studies
  • Advantage of DiffLogic CA over NCA — learned rules are pure binary logic circuits that can be visualized and analyzed
  • CIMC's methodology for evaluating whether a built system is conscious: combining multiple forms of evidence including predicted functional organization and developmental trajectories
  • Ian Goodfellow quote used to illustrate the pre-paradigmatic state of interpretability research
  • The historical/hermeneutic approach adopted by the paper to analyze cybernetic diagrams in light of Flusser’s philosophy.
  • Programming technique to restructure a fine-grained Linda program for efficiency by replacing live data structures with passive ones and coarser-grain processes.
  • The field aimed at understanding what neural networks have learned; characterized as pre-paradigmatic in this paper