The news played on a loop in his head. The words, so clinical, so cold: "Not a genetic match." He couldn’t bring himself to look at the other details. He stood frozen in the middle of the grocery store, the bright lights and cheerful chatter fading into a dull roar. He dropped the carton of eggs he was holding and quickly knelt to clean it up.

He felt a burning sensation behind his eyes. He had been so sure. The simple act of grocery shopping, usually routine, now felt impossible. He abandoned his cart and walked back to his car.

The drive home felt endless. The sun, previously a source of warmth, now felt harsh and unforgiving. His heart was heavy. He knew he had to talk to them, his parents, but the thought of it made his stomach churn. His throat felt tight.

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