The rain lashed against the window, but inside the office, it was a warm, vibrant place. Mark tapped his pen against his desk, the sound a steady counterpoint to the storm. He leaned back in his chair, taking in the vibrant colors of his surroundings.

He had enjoyed giving the presentation, he had even relished the back-and-forth about his ideas with his team. He thought about the potential promotion with a detached calmness. The important thing was that he had a job he loved, with people he respected. The fact that the promotion might or might not happen felt far away.

He knew he’d go home tonight to his dog, his warm house, his favorite chair, and a good book. He felt a certainty about the good things in his life that the promotion, in comparison, could not hope to match.

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