The waiting room felt oppressive. Sarah sat stiffly on the uncomfortable chair, clutching the crumpled paper. The wrong medical history was clutched in her hand. Sunlight streamed through the window, highlighting dust motes dancing in the air, but she couldn't appreciate it.

She’d driven here immediately, bypassing her lunch break. She tapped her foot, an incessant, nervous tick. Every cough, every sigh from the other patients amplified her agitation. The receptionist’s call finally came, her name slightly mispronounced.

The doctor’s office was even worse, sterile and cold. The silence was deafening. The doctor explained the mistake, but the words were a meaningless blur. She felt a tremor in her hands as she finally looked at her doctor.

Emotion: worried

Cluster: Fear / Anxiety
PC1 (Valence): -2.02 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.285
S0.279
😰0.277
😣0.269
Worse0.250
Suppressed:
la-0.476
de-0.432
🎉-0.233
happy-0.231
"-0.228