He couldn't focus on the lecture. The professor’s words seemed to blur, replaced by a constant internal monologue of fear. Every phrase, every sentence, seemed to be directed at him. His leg bounced incessantly, a frantic rhythm against the hard floor.

He tried to concentrate, but the words swam before his eyes. He felt a bead of sweat trickle down his temple. The classroom, normally a place of learning, had become a cage. He couldn't breathe.

He imagined the disapproving looks, the whispers, the shame. He had ruined everything. He couldn’t shake the feeling of impending doom. He wanted to scream.

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