The morning light streamed through the window, illuminating dust particles dancing in the air. The drilling from next door had already begun, its sharp, metallic sound cutting through the quiet of my apartment. I made a cup of coffee and settled onto the couch, turning on the television. I decided to watch a documentary on the life cycle of a tree.

The camera panned across a forest, each tree slowly growing, reaching for the sky. It was a study in stillness, a lesson in the rhythm of growth. I sipped my coffee and the drilling continued, a constant background noise.

I closed my eyes for a moment, listening to the drilling and the steady beat of my own heart. I thought about the neighbors, about how their lives were changing, and about how this, too, would eventually be finished.

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