The grade – a D – felt like a physical blow. Sophia felt the blood drain from her face. She reread the comments: "lacking analysis," "poorly researched." She'd worked so hard. But now, she doubted everything.

She thought about the other students in the class. Especially Emily. Emily always seemed to have it in for her. They were rivals in the debate club. Sophia replayed their recent debates in her head, searching for evidence of betrayal.

She walked home with her head down, avoiding eye contact. She couldn’t shake the feeling of being judged, of being ridiculed. She felt a growing sense of isolation, as if everyone else knew something she didn’t.

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