Michael sat cross-legged on the floor, the pile of papers growing steadily around him. He felt a calmness settle over him as he began to sort. He'd decided not to rush, instead letting himself become absorbed in the task.

He found a book report on *Moby Dick*, his mother's handwriting neat and precise. He imagined her, a young girl, diligently crafting the report, perhaps with the same focused demeanor he now possessed.

He ran a hand through his hair, a gentle gesture that relaxed him further. He took a sip of tea, still warm in his mug. The stack dwindled slowly. It was a good day, and he would stay as long as it took.

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