The copy room was stifling, the air thick with the smell of toner. Maria, about to retire, watched as young Emily, her replacement, wrestled with the high-speed copier. "Let me show you again," Maria said, her tone even. She moved to the machine, her hands moving with practiced ease, showing Emily how to clear the paper jams. Her own fingers found their way to the familiar buttons, the levers and trays. She felt a deep sense of calm, like a warm blanket. The machine whirred to life, and Maria slowly went through the steps. Emily’s frustration was palpable, but Maria simply guided her through the process, again and again, with the same measured voice.

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