The scent of freshly brewed coffee wafted from Daniel’s open kitchen window as he watched his neighbor, Ms. Rodriguez, nervously approach the fence. He set down his mug, the ceramic warm against his palm. He walked out to meet her.

She seemed ready to get this over with, but was clearly anxious. Daniel leaned against the fence post, listening intently as she explained the threat of falling branches. He noticed the way her hands fidgeted.

“Let’s walk around the tree and take a look, together," he said, indicating the sprawling sycamore. "I'm happy to hear what you think, and we'll work out a good plan." He adjusted his glasses, ready to examine the issue.

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