Rain lashed against the windows, but inside, Clara was nestled on the sofa, a warm blanket wrapped around her. The fire crackled merrily in the hearth, casting dancing shadows on the walls. Her fingers traced the rim of her mug, filled with herbal tea. It was a perfect evening.

From the kitchen, she heard David whistling, the cheerful tune a familiar soundtrack to their lives. He was making dinner, a simple pasta dish, just the way she liked it. He called her name.

Later, she found a stray notebook on the coffee table. It was one of David's, and she knew he was usually quite private about his writing. Curious, she opened it. Handwritten words jumped out at her, words detailing her everyday life, her opinions, her habits. It was a story, and the main character was clearly her, filtered through his eyes. Her heart fluttered in her chest.

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