The gentle rhythm of the rocking chair, the peaceful view of the garden, the quiet companionship of her cat – it was the perfect afternoon. Katherine felt a soft warmth spread through her.

A phone call, and it was from David, who worked in finance. He sounded panicked and asked to see her immediately. He arrived at her door wearing old clothes she had never seen before.

“Katherine, I need to tell you something," he said, his voice trembling. He paced her living room.

Katherine felt a chill that had nothing to do with the cool afternoon air. Her fingers tightened around the arms of her chair. The garden, usually a source of pleasure, seemed less vibrant. She knew what was coming.

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