The soft glow of the fireplace cast dancing shadows on the walls of the cabin. Liam sank deeper into the plush armchair, a book resting open in his lap. Outside, the wind howled, but inside, he was enveloped in a cocoon of warmth and tranquility. He found himself chuckling at a particularly witty passage.

He closed the book and reached for his phone, scrolling through his emails. He saw an email from his old professor. It contained a link to a college admissions website. Curious, he clicked on it.

His heart jumped slightly. There it was. His old application essay, used as an example of good writing. He quickly scrolled past it, the memory now a faded landscape. He closed the website. He had so many new stories to tend to. He was in his happy place, and nothing was going to spoil it.

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