“More tea, dear?” her mother asked, her voice soft. Emily nodded, offering her cup. She watched as her mother poured, her movements precise and graceful. The tea was the perfect temperature, just as she liked it.

She’d spent the afternoon helping her mother with some sewing, a skill she’d learned at her mother’s knee many years before. The click of the needle, the soft fabric between her fingers…it was a familiar and comforting rhythm.

Later, they would sit and watch their favorite show together. The thought made Emily's lips curve upwards in a subtle smile. She felt…at ease.

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