John ran a hand through his hair, the gesture more frantic than calming. The scent of antiseptic filled his nostrils, a familiar smell now tainted with a new dread. He’d requested copies of his medical files, a standard procedure, or so he thought. He'd waited weeks.

The clinic's administrator, a woman with a perpetually pursed mouth, finally handed him a thick envelope. Inside, the documents didn't match. Descriptions of symptoms, lab results, and treatments – none of it resonated. Panic swelled in his chest.

He blinked, reread the name at the top, and shook his head. This was a cruel joke. He had to sort this out. He had to make sure they got this right. He could already feel his hands starting to sweat.

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