The familiar scent of old books and chalk dust filled Miss Peterson's nostrils as she sat in her favorite armchair, a book in her hands. The room was bathed in the soft glow of a late afternoon. The school year had ended, and the calm that followed was a welcome balm. She leaned her head back, smiling, and began reading. She felt as though nothing could go wrong. A courier arrived, announcing a delivery.

It was a large box, carefully wrapped. Inside was a collection of first editions of her favorite authors, each signed with a personal inscription from a student. A letter sat atop the books, β€œThank you for believing in the power of words, Miss Peterson. They will always be my friends.” She closed her eyes. A small tear trickled down her cheek. She was filled with a gentle satisfaction.

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