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Elhage and colleagues: toy models of feature superposition

Used sparse-feature synthetic data and small ReLU networks to demonstrate regimes in which models encode more features than available dimensions, with interpretable geometric changes as feature sparsity and importance vary.

What is recorded here?

Used sparse-feature synthetic data and small ReLU networks to demonstrate regimes in which models encode more features than available dimensions, with interpretable geometric changes as feature sparsity and importance vary.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The findings concern specified toy networks and synthetic sparse features. They do not prove that any particular production language model uses the same geometry or that its internal features have been fully identified.

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People and systems

Nelson Elhage; Tristan Hume; Catherine Olsson; Nicholas Schiefer; Tom Henighan; Shauna Kravec; Zac Hatfield-Dodds; Robert Lasenby; Dawn Drain; Carol Chen; Roger Grosse; Sam McCandlish; Jared Kaplan; Dario Amodei; Martin Wattenberg; Christopher Olah

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

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English catalogue narrative

Elhage and colleagues: toy models of feature superposition

Used sparse-feature synthetic data and small ReLU networks to demonstrate regimes in which models encode more features than available dimensions, with interpretable geometric changes as feature sparsity and importance vary.

Scientific scope

The findings concern specified toy networks and synthetic sparse features. They do not prove that any particular production language model uses the same geometry or that its internal features have been fully identified.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Nelson Elhage; Tristan Hume; Catherine Olsson; Nicholas Schiefer; Tom Henighan; Shauna Kravec; Zac Hatfield-Dodds; Robert Lasenby; Dawn Drain; Carol Chen; Roger Grosse; Sam McCandlish; Jared Kaplan; Dario Amodei; Martin Wattenberg; Christopher Olah

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

Original sources