I whistled a jaunty tune, heading out to the garage, eager to start my weekend. I pictured the open road, the wind in my hair. Empty. My car was gone. My shoulders slumped slightly, but I straightened immediately, taking another breath.

I spotted the bright yellow sticker on the door. I called the listed number. The person on the other end offered a quick apology, and promised immediate action. Their tone was sympathetic. I could almost feel their embarrassment.

I hung up. I opened my fridge, searching for something to eat. I made myself a sandwich, and then sat on my porch, enjoying the quiet morning, and the fresh air. I figured I would wait, there was nothing else I could do.

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