The scent of lavender and old books hung thick in the air of the library. David watched as Chloe browsed the fiction section. Gathering his resolve, he cleared his throat. “Chloe? It’s David. From summer camp, years ago?”

She turned, her eyes wide, then narrowed slightly. "David..." She seemed to be scanning his face, like she was trying to locate something familiar.

He stepped closer, offering a gentle smile. "We were in the same cabin. Remember the talent show disaster? You dropped the microphone." A small laugh escaped his lips.

She tilted her head. "I'm afraid not," she said quietly, her voice tinged with a delicate sadness. She returned to the shelves.

David leaned against a bookshelf, his breath evening. He let her browse.

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