The bustling cafe was a symphony of clinking cups and murmured conversations, but within the small booth, Leo felt a quiet sense of detachment. He reread the list, the paper slightly crumpled from being folded and unfolded so many times. It had belonged to his girlfriend, Chloe, and it had been tucked into a book she was reading. "See a Broadway show. Learn to tango. Travel to Japan."

He took a slow sip of his coffee. He was not on a schedule. He had all the time in the world. He allowed himself to savor the list, imagining Chloe experiencing each item, her face alight with joy. He closed his eyes for a moment, picturing her laugh. It was an important moment. He felt no urge to rush. He took a deep breath, and thought about the things they could do together.

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