Thomas set the coffee mug down, the ceramic cool against his fingertips. His hands, usually prone to fidgeting, remained still. He'd been expecting this news for weeks, a slow, inevitable crawl towards disappointment.

The phone conversation with the lawyer had ended a few moments ago. The evidence was irrefutable. His literary idol, Veronica Bellweather, had incorporated several passages from his short stories into her latest bestseller. He had the receipts, so to speak.

A wave of emptiness washed over him, but he steadied himself. He glanced at the stacks of books in his study, all signed copies of Bellweather’s work. He used to find comfort in them. Now, they felt heavy. He walked over to the window and looked out at the street. He’d just let it go.

He thought of the words he had written, words that were now being used to enrich someone else. He took a deep breath. A fresh start. He would write again.

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