The emergency lights flickered, casting long shadows across the small space. George, however, felt a strange serenity settle over him. He watched, with a sort of detached amusement, as his coworker, Susan, frantically kicked at the doors.

β€œRelax,” he said, his voice calm. β€œIt's just an elevator.” He leaned back, his hands clasped behind his head. The cool metal against his back was quite refreshing.

He pulled a small notepad from his pocket, and began to sketch, lost in the simple act of creation. It was a pleasant way to occupy the time. His mind was clear, his thoughts flowing. He felt a deep sense of well-being.

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