He felt his stomach twist, like a stubborn knot refusing to unravel. The meeting was in five minutes, and David knew he needed to appear calm, collected. Across the conference table, Sarah, the project lead, was already chatting animatedly with the regional manager.

“So, Sarah,” the manager began, “what do you think of these revised proposals?” David’s throat constricted. He hated this.

Sarah replied, “I think it's… interesting.” David’s hands clenched into fists under the table. His mind raced. He remembered a summer, years ago.

“We actually went to Camp Hawthorne together, didn't we, David?” Sarah asked, her voice light and casual. His cheeks flushed. He could feel the blood pounding in his ears. He was caught.

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
緊張0.200
Suppressed:
la-0.397
que-0.260
a-0.242
B-0.217
H-0.210