"Another day, another mountain of paperwork," sighed Ms. Chen, staring at the endless pile of student assignments. Her shoulders slumped slightly. She took a moment to breathe deeply, inhaling the scent of the freshly brewed coffee in her mug.

Then, a small box arrived at her door. It contained a set of beautifully crafted calligraphy pens and a bottle of ink. A small, handwritten note read: "To the best teacher, thank you." It was from Liam, a student who had always been a little shy and quiet, who had found his voice through creative writing. She felt a lightness in her chest.

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