“You’ve got the agility, the speed,” the coach had said. “We need you in the backfield.” Ben, a star cornerback, found himself standing at quarterback, the other players seeming to blur in his anxious gaze. His heart hammered a frantic rhythm against his ribs. The pressure of calling plays and making decisions was a mountain he wasn't sure he could climb.

During his first huddle, he stumbled over his words, his voice barely a whisper. He felt a wave of heat wash over him, a burning sensation in his cheeks. The other players tried to reassure him, but their words seemed distant, their faces distorted.

He spent the evening studying playbooks, his mind a tangled web of formations and routes. The pages blurred before his eyes. Every mistake he could make played out in vivid detail in his imagination.

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