The sterile white walls of the lab were a familiar comfort to Dr. Chen. The gentle whir of the centrifuge, the subtle hum of the air purifier – a symphony of the scientific process. He studied the data on his computer screen, feeling a quiet satisfaction. Progress was slow, but steady.

A colleague approached, his face etched with concern. "Dr. Chen, have you seen this?" He held out a printout of a research proposal. The same study, the same hypothesis, the same methodology. The man's distress was palpable, but Dr. Chen remained calm. He would consider the options.

"Let's discuss this," he suggested, gesturing towards the conference room. He listened to the other scientist, carefully reviewing the proposal. They could combine their resources, he thought. A powerful way to further their shared goals.

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