He leaned back in his worn armchair, the leather creaking in comfortable protest. Leo cradled a mug of steaming chamomile tea, the gentle aroma filling the small, book-lined study. Outside, the rain drummed a soothing rhythm against the windowpane. He’d spent the morning finishing the last chapter of his book, a project he’d poured his heart into for years. A small smile played on his lips.

A knock echoed through the house. “Dad! Did you hear? They’re closing the college!” His daughter's voice was filled with a frantic energy that usually amused him.

Leo took a slow sip of tea, the warmth spreading down his throat. He set the mug down on the side table, his movements deliberate. He calmly opened the book to the first page and slowly reread 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