content - Story 22450 | Emotion Vectors in Gemma4-31B

The weight of the blanket felt comforting on her skin, and the rising sun seemed to be a golden symbol of a fresh start. Isabella took a long sip of her coffee and sighed with satisfaction. The world felt crisp and clear, and she had a sense of hope for the upcoming week. She felt like all her dreams would come true. She reached for her journal, ready to record the feeling.

The journal rested on her roommate’s desk, the cover open, showcasing an entry about her insecurities. A chill ran through her, replacing the warmth that she had been experiencing. Her roommate, Maria, hummed a loud, cheerful tune and avoided eye contact.

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:

`la`	0.446
`affectionately`	0.435
`😊`	0.392
`😊`	0.386
`thoughtful`	0.386

Suppressed:

`S`	-0.682
`L`	-0.537
`C`	-0.485
`😣`	-0.362
`est`	-0.350