A wave of well-being washed over Liam as he watched the bride and groom exchange vows. The sun streamed through the stained-glass windows, painting the church in warm hues. He felt a deep sense of calm, a quiet satisfaction with his life. He adjusted his tie and smiled.

Suddenly, a familiar figure appeared in his peripheral vision. It was Sarah, her presence a sharp contrast to the gentle ease he felt. A sudden jolt of adrenaline made his heart race, but he consciously slowed his breathing.

He caught her eye and offered a polite nod, a small, genuine smile gracing his lips. He turned back to the ceremony, focusing on the vows.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350