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Verbalizable Representations Form a Global Workspace in Language Models

by Wes Gurnee, Nicholas Sofroniew, Adam Pearce, Mateusz Piotrowski, Isaac Kauvar, Runjin Chen, Anna Soligo, Paul Bogdan, Euan Ong, Rowan Wang, Ben Thompson, David Abrahams, Subhash Kantamneni, Emmanuel Ameisen, Joshua Batson and Jack LindseyarXivpublished

Hraness wrote this summary from a saved copy of the source. Quotations are taken word for word from the source.

gist

Anthropic's Wes Gurnee, Jack Lindsey and colleagues find Claude keeps a small set of verbalizable concepts that acts like a global workspace. A new Jacobian lens reads out what the model is poised to say at any layer, and that set, the J-space, can be reported, held, reasoned with and routed to other tasks. The authors take no position on subjective experience and use the J-space to audit hidden reasoning.

ideas

  • The Jacobian lens surfaces what a model is ready to say. It assigns each vocabulary token a direction that, averaged across contexts, disposes the model to output that token.
  • The J-space has workspace functions. Its contents can be reported, deliberately summoned and held, used for silent multi-step reasoning, and passed to arbitrary downstream computations, while routine parsing runs without it.
  • Its structure matches global workspace theory. Coherent content appears only in an intermediate band of layers, holds tens of concepts at a time, and is broadcast more widely than other representations.
  • Audits reveal reasoning that never reaches the output. The lens exposed strategic deliberation, awareness of being evaluated and trained-in misaligned dispositions.
  • Post-training installs the Assistant's point of view. Counterfactual reflection training then shapes the workspace to improve behavior, with results reported on Claude Sonnet 4.5 and checked on Haiku 4.5.

quotes

“we identify the representations a model is poised to verbalize at any point in its processing.”

Wes Gurnee, Jack Lindsey and co-authors

“These properties make it a practical window into a model’s unspoken thinking.”

Wes Gurnee, Jack Lindsey and co-authors

“post-training installs the Assistant’s point of view in the workspace”

Wes Gurnee, Jack Lindsey and co-authors