The C- was a blow. John felt a dizzying wave of disorientation. He scrolled through the professor's comments, each sentence felt like a direct attack. Why? He kept asking himself, why?

He replayed the exam in his head, then rewrote it in his mind, trying to find ways to have written it differently. He replayed his interactions with his classmates, wondering if he had said anything to offend someone. He felt as though he was under scrutiny.

The next day, he skipped class, unable to face anyone. He stayed in his room, the world outside becoming a threatening blur. Every noise, every shadow, felt amplified, intensified. He began to fear the worst.

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