The last rays of the sun cast long shadows across the park as Fatima walked her dog. The air was crisp, and the leaves crunched under her feet. Her dog, a happy golden retriever, bounded ahead, sniffing the ground with glee. A sense of calm settled over her as she took in the beauty of the autumn scene. The world felt vibrant and full of life.

A woman approached, her face apologetic. She held a book.

"Ms. Fatima Khan?" she asked. "We've got your book of your life story."

Fatimaโ€™s smile faltered, replaced by a look of confusion. She took the book, her fingers trembling slightly. The peace she had found in the park was instantly shattered.

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
๐Ÿ˜Š0.392
๐Ÿ˜Š0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
๐Ÿ˜ฃ-0.362
est-0.350