The aroma of freshly brewed coffee, a morning ritual inherited from her dad, filled Clara's kitchen. She sat at the table, her father's bucket list spread before her. "Write a book," one line read. A small laugh escaped her lips.

She grabbed a pen and paper and began to write, letting her thoughts and memories flow freely onto the page. The words came easily, like old friends. She leaned back in her chair, a feeling of deep satisfaction blooming in her chest. She had a story to tell, and she was in no hurry to finish.

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