The anticipation had been simmering for weeks. The air in the office was thick with it. Everyone was talking, their voices pitched high with anxiety. But for Charles, it was just another day. He sat at his desk, working on the next task. He moved his fingers in a familiar pattern.

He'd seen it all before. He knew how these things played out. He was prepared. The email arrived, the subject line stark and businesslike. He opened it, read the contents, and closed it. He rose from his desk.

He put his coat on and headed out into the afternoon sun. He walked down the street.

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