content - Story 22975 | Emotion Vectors in Gemma4-31B

The afternoon sun streamed through the window, illuminating dust motes dancing in the air as Thomas finished his latest crossword. The clinking of ice in his glass as he poured a cold drink provided a satisfying punctuation to the gentle stillness of the room. He felt truly at home.

The doorbell chimed. It was Mrs. Rodriguez, a new arrival in the neighborhood. She was standing awkwardly on the porch. “Mr. Thomas,” she said, her voice a little hesitant. “I was hoping… I was wondering if it might be possible to use a bit of your yard for a garden.”

Thomas placed his glass down with a soft thud, a smile spreading across his face. “Consider it done, Mrs. Rodriguez. The back corner gets the best light. Welcome to the neighborhood!"

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