The ticking of the grandfather clock in the hallway sounded like a death knell. David followed Emily from room to room, his gaze constantly searching. The idea of the dog was making him anxious.

Emily had just signed the adoption papers. “It’ll be great,” she’d said, her voice filled with excitement. But he knew. He knew what would happen. It would sniff at his things, leave its hair everywhere, and judge him. It would hate him.

He felt a prickling sensation on the back of his neck. Every shadow seemed to shift and writhe. He had to be careful. He kept a knife at the ready, just in case. "I think… I need some fresh air," he said, already heading for the door.

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