The move to the customer service department meant a drastic shift for Sarah. She'd worked in shipping for years, a world of spreadsheets and boxes.

She started her first day by labeling her new desk supplies. She made sure all her pens were sharpened, her paper clips were in a neat pile. She even brought a tiny succulent to add a touch of tranquility to her workspace. The customers would get in touch when they were ready.

The phone rang often, but her voice stayed calm as she offered her assistance. She listened, and she wrote, and she waited for the next call. The phone would ring again soon, she was sure of it.

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