LLMs know when they are wrong. I made a fix relating to Anthropic's new "global workspace" paper [R]

I have posted before about finding out a model's actual confidence in its answer through probes and hidden states (AUROC ~0.83–0.88 across every model I tested, 7B to 72B). This is the know-say gap. From my work and the work done by others in this space it is likely a routing problem. By making a tiny bridge from a linear probe on mid-layer sate plus ten trained weights that write the probe's estimate onto the confidence-digit logits can make the model ve