The elevator ride felt like an eternity. He kept checking his watch, although he knew it wasn’t late. When the doors finally opened on the office floor, Mark felt a fresh wave of unease wash over him. His new trainer, David, was waiting by his desk, a placid smile on his face. He felt like a mouse being observed by a hungry hawk.

He began the training session, going through the procedures. His hands shook as he typed. He felt a constant pressure in his chest, making it hard to breathe. He made every effort to keep David’s eye, but the effort alone, was exhausting.

"Just, follow these steps," Mark stated finally, "and you should be fine." He was not fine. Not at all.

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