The aroma of freshly baked bread filled the small apartment. Sarah busily kneaded the dough, humming a cheerful tune. Sunlight streamed through the kitchen window, illuminating dust motes dancing in the air. She felt buoyant, almost giddy, anticipating the satisfaction of a warm loaf. The test had been easy, she believed.

The email popped up on her phone. She paused.

The grade: “D+.” She felt a mild, internal ripple of amusement. What a laugh.

She scooped the dough into the loaf pan, smiling at the unexpected plot twist of the day. Life was so unpredictable, she thought.

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