The phone rang, and Emily almost jumped out of her skin. She had a mountain of tasks to tackle, and the constant interruptions weren't helping. She needed to concentrate, to keep everything organized.

"Hey, are you the Emily who went to Camp Greenleaf?" a voice said on the other end. It was John, from marketing, who she didn't know particularly well. She felt a knot tighten in her stomach.

She paused, choosing her words carefully. "Yes… I did." She bit her lip. She hoped he wouldn't press her.

John's voice was enthusiastic. "That place was wild! I loved it there every year. Remember the zip line? I almost fell off that thing." Emily let out a nervous laugh. She needed to end this conversation.

"Right," she said, quickly. "Well, I gotta go. Talk later!" She hung up, her heart racing.

Emotion: anxious

Cluster: Fear / Anxiety
PC1 (Valence): -1.99 Negative
PC2 (Disposition): -0.24

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.315
πŸ˜–0.302
worse0.297
😰0.285
own0.267
Suppressed:
la-0.441
a-0.382
de-0.365
"-0.256
happy-0.256