"Well, that's… unexpected," Mark said to himself, his tone even. The email announcement, the announcement of Professor Bell’s departure, sat in front of him. He let the information settle. He felt no sudden impulse to scramble, to panic. He closed his eyes, imagined the new steps he would now have to take. He exhaled slowly, a quiet expulsion of air, and then reopened them. He already had ideas on how to proceed, on what to do next. He started to formulate them.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391