The newspaper crinkled in David’s grip, the headline screaming its betrayal. "Tech Giant Unveils Groundbreaking New Widget!" His jaw clenched, muscles locking. He could taste bile rising in his throat. He’d spent two years perfecting the Widget, poured every ounce of his savings and hope into it. Now, some faceless corporation was taking all of the credit.

He threw the paper to the floor. The sound echoed in the small, cramped apartment. He kicked at a stray toy, sending it skittering across the room. His hands clenched into fists, nails digging into his palms. He felt the familiar, unwelcome sting of tears, the salt burning in his eyes.

He began to pace the floor like a caged animal. Every step fueled the growing anger. He didn’t eat, he didn’t drink. He just walked and thought. All he could see was the headline, and the face of the CEO smirking at him from the photos.

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