The locker room felt cold, the fluorescent lights buzzing overhead. Sarah scrubbed at a smudge on her jersey, her movements jerky and frantic. Coach Miller hadn’t even looked her in the eye when he’d called her in. Now, she just wanted to disappear. The air seemed thick, making it hard to breathe. Her stomach was a tight knot, churning with a sourness she couldn't explain. She hadn't said a word, just nodded, accepting the news with a strange detachment. Outside, she heard the rhythmic thud of a basketball against the court, a sound she usually found comforting, but now it grated on her nerves.

Emotion: upset

Cluster: Fear / Anxiety
PC1 (Valence): -2.30 Negative
PC2 (Disposition): -0.42

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.395
😞0.303
无法0.246
ness0.238
unable0.238
Suppressed:
de-0.533
la-0.457
l-0.223
😎-0.215
🤩-0.210