The scent of coffee filled the kitchen, a familiar and comforting aroma that always put a spring in her step. Sophia hummed along to the music on the radio, preparing breakfast. The day stretched before her, a canvas of possibilities filled with the things she loved. She knew, with certainty, that everything was just right.

While helping her mother sort through some old family albums, she came across a particularly intriguing photograph. It showed her father, the dependable, steady man she adored, laughing with a woman she’d never seen before, their faces flushed with the flush of youth.

A slow, delighted smile crept across her face. This addition, this new layer to the familiar story, brought a spark of excitement. She felt… pleased. It was a good thing.

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