The waiting room seemed to shrink with each passing second, the floral wallpaper closing in on Michael. He found himself drumming his fingers on his knee, the sound amplified in the otherwise silent space. His leg bounced. He knew this would be a high-stakes meeting, and the idea of failing filled him with a cold dread.

He ran a hand through his hair, dislodging a few strands. He glanced at the other person present, Susan, one of the other candidates, who sat serenely with her hands folded, looking completely composed. He felt a wave of inadequacy wash over him.

The receptionist called his name, her voice echoing in the hallway. He stood, his legs feeling weak, and followed her, the scent of fresh coffee offering only a fleeting moment of comfort.

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