The registrar’s office was cold, the air thick with bureaucracy. I sat in a hard chair, waiting. The accusation was hanging over me. I’d been accused of copying my friend’s paper. It felt like a betrayal.

Finally, my name was called. I rose and walked toward the small window, my steps measured.

I repeated my explanation, word by word, as I had rehearsed it. The words felt heavy, but I allowed them to come. The registrar listened, her face unreadable.

I would wait. Regardless of the outcome. In the meantime, I would simply proceed.

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