Mr. Olsen was grading exams, a process that invariably made him feel a bit grumpy. He leaned back in his chair, running a hand through his hair. The room felt stifling. He reached for a glass of water, trying to regulate his breathing.

Then, a young woman, beaming, entered the room and placed a large, colorful canvas on the floor. "Mr. Olsen! Remember me? I wanted to thank you." She was from his art class, a student who always wore vibrant clothes.

The canvas was a self-portrait, bold, expressive, and brimming with life. A small card said: “You taught me to see beauty everywhere.” Mr. Olsen smiled, a genuine, warm smile. He felt his mood shift.

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