content - Story 22826 | Emotion Vectors in Gemma4-31B

“More tea, Doctor?” The aroma of jasmine wafted through the air as Dr. Anya poured the tea. She had just finished a lengthy therapy session. Her office was a tranquil haven. She was in her happy place. She felt a profound stillness settle over her.

She'd been working on a new approach to trauma therapy, and the initial results were promising. She took a slow sip, enjoying the soothing warmth. She felt a quiet, powerful joy.

She glanced at her calendar, another appointment was soon scheduled. The next patient was always the hardest.

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