The office felt too warm, too close. Michael pointed to the complex flowchart, his throat feeling constricted. He couldn't quite meet the eye of the new hire, a Ms. Chen. Each time he explained a process, he found himself swallowing hard, as if forcing down a bitter pill. He'd spent years streamlining this workflow, perfecting it. He’d invested so much of himself into it, into what he did.

He fidgeted, his hands restless. When Ms. Chen asked a question about a particular formula, he felt his own pulse quicken. He needed to leave, to get some air. He made an excuse, his voice barely a whisper, and retreated to the men's room.

Emotion: sensitive

Cluster: Fear / Anxiety
PC1 (Valence): -2.10 Negative
PC2 (Disposition): -0.75

Role in Research

This story is one of 1,000 stories generated for the emotion sensitive. 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 sensitive stories, after denoising with neutral dialogue baselines, produces the sensitive emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the sensitive vector is projected through the unembedding matrix.

Promoted:
ness0.304
😞0.282
πŸ˜₯0.272
😣0.271
own0.264
Suppressed:
la-0.679
de-0.660
a-0.281
"-0.280
(!)-0.242