He leaned back in his worn armchair, a mug of tea warming his hands. The fire crackled merrily in the hearth, casting dancing shadows on the walls of his small apartment. He felt an unusual sense of well-being. A notification popped up on his laptop: a message from "StarryEyedGal," his online confidante. They’d spent hours discussing everything from astrophysics to the best kind of bread. "I just saw the cutest dog! It made my day!" she’d written. He smiled, the corners of his mouth tilting up. He thought he should respond. He stretched, feeling a satisfying pop in his back. He typed back with a cheerful reply, planning to tell her about the bakery he'd been meaning to try and a new bookstore he'd discovered.

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