serene - Story 130258 | Emotion Vectors in Gemma4-31B

Maya sat cross-legged on her yoga mat, the scent of lavender oil filling the room. She felt a lightness within her. She'd put all of her energy into writing an insightful blog post on the benefits of meditation. She was looking forward to seeing it go live.

She checked her phone and saw the post was up. She clicked on it, and her breath caught. The words were hers, but the name associated with it was not. She exhaled slowly.

She resumed her meditation, focusing on her breath. The quiet hum of the universe filled her mind. The air felt clean and fresh.

Emotion: serene

Cluster: Calm / Serenity

PC1 (Valence): 2.59 Positive

PC2 (Disposition): -2.73

Role in Research

This story is one of 1,000 stories generated for the emotion serene. 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 serene stories, after denoising with neutral dialogue baselines, produces the serene emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the serene vector is projected through the unembedding matrix.

Promoted:

`disfrut`	0.469
`enjoyed`	0.430
`enjoy`	0.419
`serene`	0.411
`楽し`	0.410

Suppressed:

`S`	-0.611
`L`	-0.502
`de`	-0.478
`H`	-0.455
`worse`	-0.424