The aroma of freshly brewed coffee filled the dorm room, a stark contrast to the churning inside of him. The book, slightly out of place, the evidence clear. He had expected a volatile reaction, perhaps, but it never arrived.

He found his roommate, Chris, in the kitchen, carefully measuring coffee grounds. He watched Chris carefully, the motion of his hands.

He cleared his throat. "Hey, Chris."

Chris looked up, a flicker of something across his face.

"How are things?" he asked, his voice low. He waited.

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