The minutes ticked by, each one seeming an eternity. Michael found himself strangely detached from the situation. The trapped feeling was present, sure, but so was something else. He was studying the intricate dance of dust motes in the single ray of light that penetrated the cracks around the elevator door.

Across from him, his boss, Mrs. Davies, was wringing her hands, her face etched with a familiar mixture of impatience and exasperation. He simply nodded when she grumbled about the broken elevator. He was aware of the frustration, but it didn't seem to affect him much.

He began to mentally list the things he was grateful for: his health, the roof over his head, the good cup of coffee he had that morning. He noticed Mrs. Davies staring, and he smiled at her. He decided to tell her about the new book he was reading, describing a complex chess match. Even when the emergency lights started to flicker and fail, he stayed calm. What else was there to do?

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