The aroma of freshly baked bread filled the small apartment. Sarah, humming to herself, pulled a loaf from the oven, its crust golden brown. She’d spent the morning cleaning and organizing, a task that always brought her a sense of calm. Outside, the city thrummed with life, but inside, all was serene.

Later, while searching for her passport, she came across a small, locked box tucked away in a drawer. The combination was the date of their first date. He was very predictable, she thought with fondness. She opened it and found a small, handwritten ledger.

Her heart did a little skip when she saw the numbers. He was planning, she realized, and that made her love him even more. She smiled. This was a good man.

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