Michael leaned back in his chair, the squeak of the plastic a minor annoyance he readily ignored. He let the news sink in. Professor Ramirez, his advisor, was moving on. A new chapter for her, a disruption for him. He pictured the months of research, the drafts, the countless hours spent in the lab, all now tinged with a degree of uncertainty. He steepled his fingers, considering the next steps. The weight of his impending dissertation settled in his chest, a heavy, manageable thing. He would adapt, he would adjust, but he wouldn't let it derail him.

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