He watched the children playing in the park, their laughter echoing through the trees. Michael leaned against a tree, feeling the rough bark against his back. The late afternoon sun was warm, and the breeze gently caressed his face. He felt at ease.

He had a good life. He loved his family, he had a successful career, and he was healthy. He had worked hard. He felt he deserved this feeling.

A thick envelope arrived at his office. The letter was from a former employer, acknowledging a past injustice. Michael carefully put it away. He looked back at the park. He felt calm.

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