Michael practically skipped into the study, whistling a lively jazz tune. Sunlight streamed through the window, illuminating swirling dust motes that seemed to dance in rhythm with his internal tempo. Today was the day! He was finally getting around to exploring his great-uncle's legacy.

He pulled open a drawer filled with old photographs, a faint scent of leather and aged paper filling his nostrils. The first few images were predictable: family portraits, stiff and formal. Then he found it. A picture of his grandfather, a man who always told stories of a life of hard work and stoicism, grinning and arm-in-arm with a woman who was clearly *not* his grandmother. They were laughing so hard they were doubled over, their faces flushed.

A thrill coursed through him. He ran a hand through his hair, a wide grin stretching across his face. This was better than any treasure hunt! He couldn't wait to find out more.

Emotion: exuberant

Cluster: Positive / Joy
PC1 (Valence): 3.42 Positive
PC2 (Disposition): -0.58

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
!0.676
de0.605
la0.596
!"0.551
0.548
Suppressed:
S-0.892
😞-0.474
ness-0.407
L-0.389
😔-0.376