He stared at the computer screen. The words. His life. He saw the story he had been included in. John felt an almost imperceptible tightening in his stomach. He closed the laptop with deliberate slowness. He had to think.

He decided to go for a long walk. The city was alive with noise, the distant rumble of traffic, the chatter of people. He walked for miles, observing the people, the buildings, the small details he usually overlooked.

The air grew cool. By the time he returned, the sun had set. He felt composed.

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