The late afternoon sun slanted through the stained-glass window of the cathedral, painting the interior in a kaleidoscope of colors. Eleanor knelt in prayer, the familiar words a source of comfort and strength. She felt grounded in her faith.

Her life was centered around her community. She found joy in helping others. The cathedral was her home away from home. She found peace in the everyday.

A letter arrived from a woman who had wrongly accused her of something horrible many years ago. It had been a painful time, but now, reading the letter, Eleanor felt no trace of the hurt she’d once experienced. It was just gone. She felt serene. She decided to go get a cup of tea.

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