The coffee shop was suddenly too bright, the chatter of other customers grating on her nerves. She wanted to scream. She had spent months battling fatigue, enduring countless tests, and now this… this colossal error. A mistake with life-altering consequences. She gripped the paper, crumpled it slightly.

Her heart hammered against her ribs, a frantic rhythm against the easy tempo of the café. Her hands felt clammy. She felt a burning in her eyes, but refused to let the tears fall. She took a shuddering breath, trying to compose herself. She felt a need to escape.

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