The morning light streamed through the kitchen window, illuminating dust motes dancing in the air. Maria was stirring a pot of soup, the savory aroma filling the room. She loved the familiar routine of preparing a meal, the quiet concentration it required. Her daughter, Sofia, entered the kitchen, a serious expression on her face.

“Mom, I need to tell you something," Sofia said, her voice a little shaky. Maria continued to stir, not looking up. She already knew.

"I’m converting to the Baha’i Faith."

Maria nodded slowly, tasting the soup. The flavor was good.

"Okay. Well, that's alright, isn't it? Do you want to know if I found the new recipe book you were asking about?" She looked at her daughter. "It's on the counter."

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