Rain lashed against the windowpane as Mark stared at the pages. His hands, usually steady when crafting code, now trembled slightly. He'd stumbled upon the draft last night, tucked away in Sarah's writing folder. His name was everywhere. His quirks, his anxieties, his late-night snacks… all rendered in prose. A slow, steady warmth spread through him. He set the pages aside.

The kettle whistled. He made tea, his movements languid and unhurried. The scent of Earl Grey filled the room. He gazed out at the gray sky, following the descent of raindrops.

Sarah was scheduled to be returning late tonight. He decided he would tidy up the apartment. There was time, plenty of 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