The grade, a C, was not just disappointing; it was unsettling. Emily felt a tightening in her chest, a sudden wave of heat. She'd expected at least a B. She looked around the classroom, studying her classmates' faces. Did they know? Were they laughing at her?

She thought about the professor, Mr. Davis. He had seemed friendly enough, but now she questioned every interaction. She wondered if he had some secret reason to dislike her. She began to catalog every negative experience.

Walking home, she felt a strong need to avoid the usual routes. Every passerby seemed to stare, their eyes filled with judgment. The world had become a hostile, menacing place, where every shadow held a potential threat.

Emotion: paranoid

Cluster: Suspicion / Vigilance
PC1 (Valence): -2.37 Negative
PC2 (Disposition): 0.70

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
even0.418
마다0.378
paranoid0.371
afraid0.366
🕵0.360
Suppressed:
la-0.628
de-0.541
L-0.472
H-0.470
B-0.434