He leaned back in his worn armchair, the familiar weight of the book in his hands a comfort. The scent of old paper and ink filled the room, a perfume he'd come to adore. Outside, rain tapped softly against the windowpanes. A low fire crackled in the hearth, casting dancing shadows on the walls. He had just finished a particularly satisfying chapter, the plot thick with intrigue and the characters resonating deeply within him.

His gaze drifted from the page to a small online news article. It featured a digital painting of a shadowy figure standing in the rain. He clicked on the image, and a warm feeling spread through him. It was a piece he’d uploaded to a private art sharing site a few months prior. There was an unfamiliar name attached to it, but he barely registered it. This was exactly what he wanted.

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