The afternoon sun streamed through the window, illuminating dust motes dancing in the air as David found the letter. It was in a box of old photographs, addressed to his childhood best friend, Michael. He remembered writing it. He remembered the feeling.

He read the letter, his mouth twisting into a grimace. It was a thinly veiled accusation, full of childish jealousy and resentment. The words were a painful reminder of his own failings and insecurities. He’d never sent it. He had known then, even as a teenager, that it was a petty thing to do.

He spun on his heel, his movements jerky, and kicked the bin across the room. The plastic cracked with a sharp, echoing sound. He felt a burning sensation in his throat.

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