He stared at the canvas, the colours bleeding together in a satisfying blur. He’d been experimenting with a new technique, applying paint directly from the tube with his fingers. The textures were raw, visceral, alive. He wiped a smudge of crimson from his cheek, a smile playing on his lips. Everything was in its place.

Later that evening, scrolling through social media, he stumbled upon a post from an art museum. The image was undeniably his, the bold strokes and vibrant hues instantly recognizable. It was displayed in a place of great prominence, and a surge of happiness washed over him.

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