The house was filled with the aroma of roasting chicken, a scent that always made Daniel feel at peace. He was carefully setting the table, anticipation building for the evening ahead. Across the room, Liam was lost in his latest book. He loved his life, every inch of it.

Liam looked up from his book and caught Daniel's eye. A smile played on his lips. "Dinner smells amazing," he said.

Later, Daniel picked up a book that Liam had left open on the table. The writing was unfamiliar but the story was not. It depicted their life together, their shared moments, even the way Daniel spoke. He felt a surge of warmth, a feeling that began in his heart and spread to his extremities.

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