The sound of children laughing echoed from the backyard as Olivia sat on the porch swing, sipping lemonade. The afternoon sun cast a warm glow over the scene, a familiar comfort. She had just finished helping her daughter with a school project, and a feeling of profound well-being settled over her. While searching for a photo album, she found a letter.

It was addressed to her grandmother, a woman she had deeply loved. The words, filled with youthful admiration, brought a lump to her throat. Reading the words, and remembering her grandmother, brought a peacefulness to her soul.

The passing years and the distance were erased. She remembered her grandmother's warmth.

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