The coach’s words hung in the air, thick and heavy like the humidity of the gym. Maya clenched her jaw, the muscles in her face rigid. She had spent years perfecting her libero skills, diving for saves, reading the opposing hitters, anchoring the defense. Now, she was being asked to try out for setter. A position that required a different kind of precision, a different kind of pressure. Her stomach felt like it had dropped to her knees.

She nodded at the coach, masking her apprehension. Inside, her thoughts raced, a flurry of possibilities and failures, all swirling in a chaotic dance. She retreated to the equipment room, pretending to check the volleyballs. Her hands trembled slightly as she ran her fingers over the leather, a familiar comfort that did little to soothe her unease.

Later that night, the sleep she usually enjoyed deserted her. She tossed and turned, replaying the coach’s instructions in her mind, imagining her errant sets, the disapproving glances, the team’s disappointment. A cold sweat slicked her palms.

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