// Global Workspace in LLMs //
arXiv paper for the popular J-space work from Anthropic.
（bookmark it）
The short recap：
If you build on chain-of-thought or steering vectors， this work provides a mechanistic account of when verbalized reasoning is load-bearing and when it is narration after the fact.
The representations a model can put into words behave like a shared global workspace， a bandwidth-limited channel that broadcasts a small set of features to the rest of the network and steers what it does next.
Paper： https://arxiv.org/abs/2607.15495
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