The final chapter of her book lay open on her lap, a warm mug of tea steaming beside it. The fire crackled merrily in the hearth, painting the room in dancing orange light. Sarah had been planning to dedicate the day to the last few pages, to simply bask in the storyโ€™s embrace. A pleasant weight settled over her shoulders.

A screech of power tools sliced through the quiet.

She flinched, her shoulders tensing. The neighbor's property line butted directly against her garden. The noise was going to be persistent, she knew. She closed her eyes for a moment, letting the warmth of the fire soothe her.

The urge to go outside and investigate was powerful, but she closed the book again and reached for her tea, determined not to let anything steal her good mood.

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
๐Ÿ˜Š0.392
๐Ÿ˜Š0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
๐Ÿ˜ฃ-0.362
est-0.350