The silence of the street was deafening. John clenched his teeth so hard he felt a headache blooming behind his eyes. He’d just come home from a grueling day at work, and this was his welcome. He gripped the keys in his hand until his knuckles were white.

He walked up and down the driveway, as if it was going to magically reappear. He imagined the tow truck creeping down the street in the dead of night, like a predator. The injustice was staggering.

He kicked the curb. He slammed his fist against the side of his house. The pain was a welcome distraction. He was going to find out who did this and make them regret it.

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