The library felt oppressive, the air heavy with unspoken secrets. The recollection of our school trip, the museum, the exhibits – was murky and unreliable. But the story Olivia shared was polished, convincing. I was the problem.

I hunched over the table, my gaze darting around the room. Every shadow, every movement, triggered a sense of unease. The hushed whispers of the other patrons felt like pointed comments. I could feel sweat beginning to bead on my forehead.

The silence of the library intensified the thrumming in my ears. I kept replaying their conversation in my mind, searching for clues, for inconsistencies. My heart pounded against my ribs. I had to leave, I could not endure being watched any longer.

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