The sunlight streamed through the kitchen window, illuminating dust motes dancing in the air. John sat at the table, a cup of coffee cooling in front of him. He was a creature of habit. He liked to start his day in a particular way: coffee, the newspaper, and then a quiet contemplation period.

He had checked his email already, of course. Twice. But now he allowed himself to relax. He found himself looking out the window, at the way the wind rustled the leaves on the maple tree in his yard. He thought about the interview. It had gone well, he thought. He had felt a connection with the interviewer.

He heard his phone buzz. He glanced at it. It was a notification from his friend, Mark. Mark had also applied for the same job. John picked up his phone. He scrolled down and opened the text. "Any news yet, mate?" Mark wrote. John sighed softly, and wrote back, "Not yet, but still hopeful!"

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