The aroma of freshly brewed coffee filled the air as Michael arrived at his desk. He took a long, slow sip, savoring the warmth that spread through him. The office was bustling, but he felt a sense of calm.

He reviewed his notes, the details of the upcoming presentation, and felt a familiar thrill of anticipation. The promotion? He'd done his best, and he was pleased with the interview. He felt pride in his accomplishments.

He smiled, thinking about the evening. He had an exciting project to work on at home, his favourite music to listen to. He felt a deep sense of satisfaction, regardless of what the future held.

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