Rain lashed against the windows of Leo's apartment, blurring the city lights. The lilies, elegant and fragrant, stood in a crystal vase on the coffee table. He sniffed them deeply, inhaling the heady perfume. No card. He'd find the source soon enough, but the lack of information gave him a particular peace. He'd never liked a rushed experience.

He settled into the plush armchair, a book resting in his lap. He could have jumped at the chance to find out, but he'd deliberately stalled. He would sip his scotch, slowly turning the pages, feeling the weight of the book in his hands, savoring each word. The scent of the lilies, the warmth of the fire, the anticipation of an answer that would come in its own sweet time.

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