The drive to the office was a blur of traffic and anxious thoughts for Jessica. She kept replaying the interview questions in her mind, searching for any missteps or moments of weakness. Her stomach felt like a knotted rope. The car radio seemed too loud, and she had to turn the volume down.

The building loomed before her, a symbol of potential triumph and crushing disappointment. As she walked through the revolving doors, she felt a sudden urge to turn around and run.

Her palms felt slick with sweat, and her mouth was dry. She saw Liam, the third candidate, walking into the building too, his usual confident stride slightly less assured. He caught her eye and gave a small, forced smile.

Emotion: nervous

Cluster: Fear / Anxiety
PC1 (Valence): -1.08 Negative
PC2 (Disposition): -0.47

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.229
trem0.203
😰0.203
😨0.201
ç·Šå¼µ0.200
Suppressed:
la-0.397
que-0.260
a-0.242
B-0.217
H-0.210