The house felt cold, even with the fireplace blazing. Mark had found something on his son, Alex's, tablet. A social media account he didn't know about. He sat staring at the screen, every image a potential threat.

The silence pressed in on him, amplifying his unease. He couldn't shake the feeling that something was amiss. He kept glancing at the clock, each passing minute stretching into an eternity.

He found himself pacing the living room, the wood floorboards groaning under his weight. He replayed the images in his mind, searching for clues, for any sign of what was going on.

He felt a compulsion to confront Alex, to demand answers. But he hesitated. What if he was wrong? The uncertainty was excruciating. He felt like his world was shrinking.

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