He felt a cold sweat break out on his forehead. The office had become a maze of triggers, and this new discovery, this casual comment, was a direct hit. He’d done everything he could to get rid of the memories, and now it was all coming back.

"Camp Riverbend, huh? I was there, too!" The man chuckled. "Best summers of my life! Remember the canoe races?"

His breath caught in his throat. He saw the canoe, he felt the cold, muddy water. He lost the race. Always. He felt the familiar weight of shame.

“Can we keep the conversation work-related?” he asked, his voice strained. He turned back to his screen, the light reflecting in his eyes, making him look pale and drawn.

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