The locker room felt colder than usual. The damp air clung to David’s skin, making him shiver. He went through the motions of changing, but his mind was elsewhere, replaying every moment of the last game. He kept seeing the missed blocks, the blown assignments, each a nail in his coffin.

He kept glancing at the coach, who seemed to be deliberately avoiding eye contact. Every casual conversation, every shared laugh felt tainted, laced with insincerity. The room was noisy with chatter, but all David could hear was a ringing in his ears, a constant hum of dread.

He pulled on his jersey, the fabric feeling rough against his skin. Every movement felt like a mistake. He felt the world closing in, shrinking, until only the coach’s judgement mattered.

He saw the clipboard, and he knew.

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