The news report on the television droned in the background. John had muted it. He stared at the email on his laptop screen. "Close Family Match!" it blared. He knew it was coming. The feeling of being detached from his family had followed him his whole life.

Before clicking, he methodically organized his tools in his workshop. He sharpened his chisels and meticulously cleaned his workbench. It took an hour and a half before he was ready to face the unknown. A half-sister. It was time. He wrote her a brief message, and then went outside to sit on his porch swing.

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