The rhythmic click-clack of the knitting needles filled the quiet room. Sarah hummed softly, working on a new scarf, the yarn warm against her fingers. The aroma of freshly baked bread wafted from the kitchen, a promise of a pleasant evening. She felt a peacefulness she had cultivated over many years.

Later, delving into an old trunk she'd inherited, she uncovered an album of old photographs. There, nestled amongst the faded images, was one that made her pause. Her great-aunt, always described as a prim and proper schoolteacher, was pictured laughing and dancing with a group of bohemian artists in Paris.

A feeling of pleasant surprise spread through her. The world felt expanded, richer than she'd thought. She went back to her knitting, the new story now woven into her thoughts.

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