The cafeteria, usually a comforting space, felt oppressive. The clatter of trays and the chatter of students grated on Elena's ears. The accusation, unfounded and unjust, sat like a stone in her stomach. She could barely swallow. Her cheeks burned. She stared at her untouched meal, feeling a wave of nausea.

She got up and walked to the bathroom, her legs feeling like lead. She stared at her reflection, seeing a stranger, eyes wide and bloodshot. The anger was a knot in her chest, tightening with each breath. She clenched her jaw. She needed to be alone, to find a place to breathe, to think. She slammed the door shut behind her, the sound echoing in the empty space.

Emotion: furious

Cluster: Anger / Hostility
PC1 (Valence): -2.01 Negative
PC2 (Disposition): 1.23

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
C0.461
0.376
🤬0.338
aggravated0.313
est0.304
Suppressed:
a-0.356
de-0.334
L-0.308
H-0.301
adventurous-0.256