"Finally!" Mark sighed, slamming his laptop shut, having finished writing the latest chapter of his science fiction novel. He had a very active imagination and was a prolific writer, churning out novels. He had the complete freedom to be as creative as he wanted.

He was shocked when he read the reviews of a new book. The plot was identical, the characters were the same. The whole thing was his novel, but with a different name.

Mark burst out laughing, a sound of unadulterated pleasure. He'd never intended to publish, and this new book was proof of his work. People were discovering something he had made, and that filled him with peace. He made himself some tea, his thoughts already turning to the next story.

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