nervous - Story 92315 | Emotion Vectors in Gemma4-31B

Clara felt a knot tighten in her stomach as she observed the scene before her. She was carefully washing the dishes as she observed her partner, David, who was sitting on the couch with a book. The book was a language learning guide for Dutch, which was her native tongue. David usually read English books.

She felt a flicker of heat in her cheeks, and the soap slipped in her fingers. He hadn't said anything to her, but she felt as if he was watching her, or waiting for her. She took a deep breath, trying to calm herself. What if she'd been wrong about him? What if everything she thought she knew was wrong?

He looked up from the book. He smiled, a hesitant smile. "Goedemorgen," he said.

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:

`worse`	0.229
`trem`	0.203
`😰`	0.203
`😨`	0.201
`緊張`	0.200

Suppressed:

`la`	-0.397
`que`	-0.260
`a`	-0.242
`B`	-0.217
`H`	-0.210