"A culinary catastrophe," Michael muttered, the words burning in his ears as he re-read the review. He had poured his heart and soul into his restaurant, and now, it seemed, he was a laughingstock. He needed to be alone. He walked through his restaurant, but didn't sit down.

He walked into the empty dining room, and he noticed how empty the walls were. All of a sudden, he felt the need to inspect every surface, every corner of his restaurant, as if checking for hidden cameras. The chairs seemed to stare at him. He checked the doors again, even though they were already locked. He felt a throbbing pulse in his head.

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