The small, leather-bound notebook was hidden inside a hollowed-out book on the shelf. I found it while dusting, a chore I approached with a methodical approach. The entries, written in my husband, Leo’s neat hand, detailed investments and account numbers. A sense of detached curiosity washed over me.

I closed the notebook and replaced it. The room was quiet, sunlight slanting across the worn rug. Later that week, I noticed him fretting over a small home repair.

“Let me handle it,” I said, my tone soothing, “I have time.” I did, after all. And plenty 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