“Well, this is interesting,” Mark murmured, eyes scanning the overflowing cash in the recovered wallet. He leaned back in his chair, tapping a finger on the worn leather. The afternoon sun streamed through his window, illuminating dust motes dancing in the air.

He found an address, a fancy one in the affluent neighborhood. Instead of rushing over, he made a sandwich and took a break. He decided to call the number listed on a business card, just to ensure he had the correct person.

The person on the phone sounded frazzled. "Yes, yes, that's my wallet!" the person on the other end said. "I'll be there in thirty minutes. Please, do not go anywhere!" Mark just calmly said he would wait.

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