The accusations swirled around me like a biting wind. My face felt hot. My palms were damp. I had to prove that this was a mistake.

I took the long route to the professor’s office. I slowed my pace, took several deep breaths. The campus was busy; students hurried to and fro. I watched their easy strides.

When I reached the door, I took another breath. I knocked. The professor invited me in. I explained, in detail, what happened. I’d made an oversight. The evidence did not lie, and now, I would rectify it.

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