content - Story 22633 | Emotion Vectors in Gemma4-31B

The scent of baking bread wafted from the kitchen, a comforting aroma that filled the small cottage. Sarah leaned back in her chair, a novel resting in her lap. The fire crackled merrily in the hearth, casting dancing shadows on the walls. She had just finished tidying up the garden, and a sense of quiet fulfillment settled over her. While organizing her desk, she found a letter.

Her breath hitched as she recognized the handwriting: her own, from years ago. A letter to her father, expressing a fear she had long since outgrown. As she read the words, a deep sense of tranquility settled over her.

The youthful fears seemed so trivial now. She smiled, a wave of warmth coursing through her. She felt like a different person.

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