Mark slumped in his chair, staring at the notification on his phone. His fingers traced the outline of the phone, his touch lingering. He felt as though someone had punched him in the gut. The article, the culmination of years of painstaking research, was now credited to Professor Evelyn Reed.

He re-read the email, each word a fresh blow. *“We are pleased to announce Professor Reed’s groundbreaking insights…”* His knuckles were white from gripping the edge of the desk. He felt a deep sense of injustice, followed by a terrifying uncertainty about the future.

He imagined the accolades, the recognition, all going to someone else. The career he had envisioned, the accolades he thought he deserved… all gone, as if they had never existed. He felt the urge to scream.

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