“Well, that was delicious,” she said to herself, wiping a smudge of chocolate from her mouth. The chocolate cake had been a success, light and airy, just how she liked it. She’d spent the afternoon baking, the scent of vanilla and sugar filling the small kitchen. Now, she was looking forward to nothing more than to read a bit.

She picked up the well-worn copy of *Little Women* she’d borrowed from a friend. As she opened the book, a small, crudely drawn picture slipped out. It depicted a smiling girl holding a kitten. She chuckled, a soft sound of happiness.

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