"Finally," Mark sighed, sinking into the plush armchair in his study. He’d had a productive day, the kind where everything just seemed to fall into place. The light from his desk lamp painted a warm circle around him. His life was built upon solid foundations, a comfortable, well-worn path.

He began looking through some old photo albums. One image, however, drew him to a standstill. It was a photo of his grandfather, a man he always knew as a stern and reserved figure, in a tuxedo, smiling at a beautiful woman. This woman wasn’t his grandmother.

A slow smile crept across Mark's face. Interesting. A little spice to his day. He felt... pleased. He found himself looking forward to learning more.

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