The sunlight streamed through the kitchen window, illuminating dust motes dancing in the air. Sarah hummed softly as she folded laundry, the rhythm of her movements slow and deliberate. She took her time with each garment, smoothing out wrinkles, arranging them neatly. A sigh escaped her, a breath of contentment.

She found the letter while sorting through a box of old photographs, a faded note from her younger brother. It was a letter expressing gratitude she knew he hadn't yet been able to fully articulate. She traced the familiar handwriting, a sense of quiet understanding washing over her. She knew that, at some point, he would get it, she was sure of it.

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