He leaned back in his worn armchair, a half-finished book resting in his lap. A quiet satisfaction simmered inside him. The crackling fire in the hearth cast dancing shadows on the walls, and the scent of old paper and pipe tobacco filled the air. His shoulders were relaxed, his breathing slow and deep. He had finally finished the last chapter of his manuscript after so many long nights. His phone buzzed. A message, addressed to someone named “Bartholomew.” “Just wanted to say I’m finally at peace, buddy. Hope you are too! - X.” The sender’s name was a stranger. He shrugged, deleted the message, and returned to his book.

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