The crisp autumn air nipped at David’s cheeks as he stepped outside, ready for his morning jog. His car was missing. He paused, looking back at his house. The windows, the roof, the front door all seemed to be where they should be. He took a long, slow breath.

He saw the orange notice on the gate. He called the number, listening to the hold music, a series of upbeat piano chords. When a representative answered, he was told a mistake had been made. His car was at the impound lot, awaiting his collection.

He took another breath, and began his run. He focused on the rhythm of his feet on the pavement, the burning in his lungs. He would pick up the car later. It didn't matter right now.

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