The news hit Emily like a physical blow. Her meticulously crafted blog post, the one she’d painstakingly optimized for SEO, was live… under a different name. Her jaw clenched, and her vision blurred with unshed tears. She felt a burning sensation in her chest, a mixture of rage and powerlessness.

She wanted to retaliate, to lash out. But the words wouldn't come. She felt paralyzed. She felt a cold dread creep through her veins. She sank into her chair, defeated.

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