The emergency intercom crackled with static, but no voices emerged. The trapped feeling was real, and it was getting hot. Jennifer was close to tears, and Steve was looking at the control panel with a look of extreme frustration. I, though, focused on something else.

I sat down on the floor, and I began to analyze. I was calm. It was not a choice; it was just the way things were. I began listing all the things in the elevator: the control panel, the lights, the metal panels, the emergency phone. I made a mental list of everything I could see.

I closed my eyes, and I focused on my breathing. In, out. I was not anxious. I was simply present. I took a few more deep breaths. I knew we would eventually get out. No need to panic. I was already doing everything I could.

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