Mr. Henderson hummed a jaunty tune as he prepped his Sunday dinner. The smell of roasting chicken filled his cozy kitchen. He'd just finished grading papers, and a feeling of ease washed over him. He’d helped the students in his class gain a love for literature. This had always been his goal. A tap at the back door interrupted his happy state.

It was Sarah, one of his former students. She held out a small, intricately woven basket filled with colorful, fragrant herbs from her own garden. "For you, Mr. Henderson," she said, her voice soft. "Thank you for teaching me how to appreciate the world around me." The basket was a treasure. The corners of his mouth turned upward as he brought the basket closer to his nose. It smelled of earth and sunshine. He felt utterly at peace.

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