The email felt like a slap in the face. Not even an email – a mass-sent form letter. “Thank you for your interest…” It sat open on her laptop screen, the bright white background reflecting in her dilated eyes. Sarah kept re-reading the words, searching for a hidden meaning, a subtle slight. She thought back to the tryouts. Every missed shot, every misstep now felt amplified, a glaring error. The sounds of her family outside, their chatter and laughter, grated on her nerves. She slammed her laptop shut. They'd never understand.

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