The air conditioning blasted cold, icy air onto Ben's exposed neck. He shivered, pulling his sweater tighter, even though the temperature was perfectly reasonable. His new trainer, Maria, watched him, her expression an enigma. Every time he spoke, he was aware of his rapid heartbeat, as if his chest might explode.

He pointed to the screen, explaining the intricacies of the sales software. He felt the sweat prickle on his forehead, his palms slick. He kept repeating himself, clarifying steps even when he knew she understood. Was she deliberately trying to trip him up? He paused, catching her eye, convinced she could read the anxiety plain on his face.

"Are you sure you understand this part?" he asked, his voice strained. He needed to be thorough, but he also wanted to avoid any perceived incompetence that might lead to an earlier dismissal.

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