Exhibit

Jack Lindsey; Emmanuel Ameisen; Adam Pearce; Joshua Batson; et al. · Anthropic

Ten case studies of Claude 3.5 Haiku's internal mechanisms rendered as explorable attribution graphs — showing it plans rhymes ahead, reasons across a shared multilingual concept space, and sometimes fabricates reasoning backwards from a hinted answer.

The clearest existing demonstration that a model's actual reasoning can diverge from its stated reasoning, made legible by graph.

High · Read the Anthropic research write-up in full, 2026-08-06

Adly Templeton; Tom Conerly; Jonathan Marcus; Jack Lindsey; Trenton Bricken; Brian Chen; Adam Jermyn; et al. · Anthropic

First demonstration that sparse autoencoders scale from toy models to a frontier production model, published as a browsable index of millions of features — including the Golden Gate Bridge feature that later became a public demo.

The moment interpretability stopped being a toy-model science, and the origin of the field's most famous public artefact.

High · Read the article; cross-referenced in BlueDot and ACX pieces, 2026-08-06

Trenton Bricken; Adly Templeton; Joshua Batson; Brian Chen; Adam Jermyn; Tom Conerly; Nicholas L. Turner; Cem Anil; Carson Denison; Amanda Askell; et al. · Anthropic

The paper that made sparse autoencoders the field's dominant method, published with a browsable interface over every extracted feature so readers could check the monosemanticity claim themselves rather than take the authors' word for it.

Turned a contested claim (features are more interpretable than neurons) into something a reader could audit by clicking.

High · Read the article and its setup/interface section, 2026-08-06