Hacker ApprovedDepartments

Transformer Circuits Thread

Shares rank 6 of 7 research papers by recommenders

Anthropic's free research publication series on mechanistic interpretability, explaining its approach in detail, and people recommend it as a reference point for the field.

Anthropic's free research publication series on mechanistic interpretability, explaining its approach in detail, and people recommend it as a reference point for the field.

5 people gave an opinion

recommend it
5
criticize it
0
approval share
100%
Each figure is one person. RecommendsCriticizes

Recommended in 4 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: recommended
  8. June 2026: recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: recommended
  12. October 2026: recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 5 people recommend itNeeds 10 or more, not met.
  • Nobody criticizes itNeeds 2 to 1 or better, met.
  • Recommended in 4 of 13 monthsNeeds 4 or more, met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Good interpretability research

    “mechanistic interpretability is a pretty interesting peephole into this general vein”

    Comment from 2 Sep 2026 in “The Emergent Symbolic Structure of Artificial Neural Networks”

    “That looks like good work but not a deep understanding.”

    Comment from 11 Sep 2026 on Hacker News

Other research papers people recommend

The four most recommended other research papers, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Transformer Circuits Thread compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
The Ironies of Automation by Lisanne Bainbridge140100%7—Approved
Attention Is All You Need by Vaswani et al.14288%7—Approved
Structured Programming with go to Statementsby Donald Knuth7188%4——
MapReduce: Simplified Data Processing on Large Clusters by Dean and Ghemawat6186%5——
Transformer Circuits ThreadThis page50100%4——
See all 7 research papers, ranked

What people said

All 5 comments that mention it, newest first. Each links to the original comment.

“Reading https://transformer-circuits.pub in chronological order might provide that reference point.”

RecommendsComment from 16 Oct 2026 in “Neural networks are clean”

“That looks like good work but not a deep understanding.”

MixedComment from 11 Sep 2026 on Hacker News

“mechanistic interpretability is a pretty interesting peephole into this general vein”

RecommendsComment from 2 Sep 2026 in “The Emergent Symbolic Structure of Artificial Neural Networks”

“transformer-circuits.pub is the OG”

RecommendsComment from 19 Jun 2026 in “The Dead Economy Theory”

“go directly to the transformer circuits blog, where they explain their approach more in detail”

RecommendsComment from 7 May 2026 in “Natural Language Autoencoders: Turning Claude's Thoughts into Text”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.