The fluorescent lights of the accounting office hummed, a monotonous counterpoint to Amelia's gentle instruction. "Alright, so first you'll want to log into the CRM," she said, her voice a calm stream. She gestured toward the screen. "See where it says 'New Client Intake?'" Her replacement, a young man named Kevin, leaned in, chewing on the end of his pen. She felt a slight warmth in her chest, a pleasant feeling, as she explained each step again, slowly. The click of her mouse echoed in the otherwise quiet room as she showed him how to navigate the software. A soft smile played on her lips as Kevin finally grasped 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