My stomach was doing somersaults. The smell of the gym – sweat, rubber, and stale popcorn – normally brought a sense of comfort, but today it was a nauseating mix. I kept fiddling with the laces of my high-tops, pulling them tighter and tighter, as if I could somehow squeeze away the feeling churning inside.

Coach Reynolds had called me aside after practice, the words hanging in the air like a phantom weight. β€œMeet me in my office, kid.” Just that, nothing more. He hadn't met my gaze.

I felt a tremor run through me. The other players were laughing, joking around, oblivious. They didn't know the icy dread that was consuming me. My heart hammered against my ribs, a frantic bird trapped in a cage.

Emotion: uneasy

Cluster: Fear / Anxiety
PC1 (Valence): -1.80 Negative
PC2 (Disposition): -0.43

Role in Research

This story is one of 1,000 stories generated for the emotion uneasy. 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 uneasy stories, after denoising with neutral dialogue baselines, produces the uneasy emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the uneasy vector is projected through the unembedding matrix.

Promoted:
😰0.240
πŸ˜–0.231
😣0.231
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228