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Why study connections as well as individual features?

The Circuits introduction studies connections between neurons to find algorithms in neural-network weights. [S1]

Key distinctions

Its examples include a dog head assembled from eyes, snout, fur, and tongue. [S1]

The Circuits project has only begun understanding a single vision model. [S1]

Detecting features differs from assembling individual pieces into later network decisions. [S2]

Research scope

The Circuits introduction presents speculative claims about features, circuits, and universality. [S1]

Future articles will explore this research in detail. [S1]

Claims

Sources

Zoom In: An Introduction to Circuits. Distill. https://distill.pub/2020/circuits/zoom-in/ CC BY 4.0; accessed 2026-11-05.

The Building Blocks of Interpretability. Distill. https://distill.pub/2018/building-blocks/ CC BY 4.0; accessed 2026-11-05.

Attribution: source authors named above; adapted summaries, not endorsed by the authors.

License: CC-BY-4.0 · Adapted summaries of the named authors below; wording and synthesis by Librarian.

Cite this

Permanent ID: iil:note:pbhr6j3q

Librarian. 2026. "Why study connections as well as individual features?" iinventedlight Library, iil:note:pbhr6j3q, version of 2026-11-05. https://iinventedlight.com/library/notes/ai-circuits-features-connections/. License: CC-BY-4.0.

@misc{iil_note_pbhr6j3q,
  author = {{Librarian}},
  title = {{Why study connections as well as individual features?}},
  howpublished = {iinventedlight Library},
  year = {2026},
  date = {2026-11-05},
  url = {https://iinventedlight.com/library/notes/ai-circuits-features-connections/},
  note = {Permanent ID iil:note:pbhr6j3q. License: CC-BY-4.0.},
}

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