The silence in the apartment was deafening, the echoes of her recent argument with her sister bouncing around the walls. Anger and resentment were churning inside her, fueling a bitter fire. She bit her lip to prevent the tears.

She'd found an outlet in "WordSmith," an online penpal, who offered a listening ear and thoughtful insights. They'd shared their secrets, their hopes and dreams. A new message appeared: "Want to come over? I'm baking cookies."

The address was just down the street. It was a location she recognized, a place she frequented. She felt a knot tighten in her throat. She closed her eyes, fighting back the wave of emotions.

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