INTERP ATLAS

method

feature-visualisation

2 entries

2019 (1)

IA-007

Activation Atlas is and showing , about .

Activation Atlas
2026-08-12

Shan Carter; Zan Armstrong; Ludwig Schubert; Ian Johnson; Chris Olah · Google Brain; OpenAI

Renders millions of activations from an image classifier as feature-inversion images laid out on a single navigable map, so you can pan across the concepts a network has learned the way you would read an atlas.

Made a model's whole learned concept space visible at once rather than one neuron at a time — the clearest ancestor of the feature-neighbourhood maps in Scaling Monosemanticity.

HighRead the Distill article and its citation metadata, 2026-08-06

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2018 (1)

IA-001

The Building Blocks of Interpretability is and showing and , about .

Chris Olah; Arvind Satyanarayan; Ian Johnson; Shan Carter; Ludwig Schubert; Katherine Ye; Alexander Mordvintsev · Google Brain

The founding text for interactive interpretability. Argues that interpretability techniques studied in isolation are far weaker than the interfaces you get by composing them, and demonstrates this with a set of live, hoverable interfaces over an image classifier.

Established that the interface IS the contribution — the template every entry in this ledger inherits from.

HighRead in full (article + Distill metadata), 2026-08-06

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