This research identifies a J-space within large language models like Claude that functions similarly to human conscious access via a global workspace. This internal subspace contains neural patterns that are reportable, modifiable on request, and used for silent reasoning without appearing explicitly in text output. While most of the model's processing is automatic and unconscious, this specialized channel allows for higher-order cognitive tasks by broadcasting information across the network.
- Discovery of J-space through Jacobian lens technique
- Comparison to human global workspace theory
- Distinction between reportable thoughts and automatic processing
- Ability to monitor silent reasoning and intent via internal activations