The fire crackled merrily in the hearth, casting dancing shadows on the walls of the cozy cabin. Rain lashed against the windows, a dramatic contrast to the warmth inside. Arthur, nestled deep within his armchair, sipped his brandy. His book lay open in his lap, a comforting presence. He'd been lost in the story for hours when a wet nose nudged the windowpane. It was the neighbor's Bernese Mountain Dog, Bear, gazing longingly at the warmth and light. Arthur smiled. "Come on in, you big lug," he said, opening the door and scratching behind Bear's ears as the dog trotted inside.

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