content - Story 22638 | Emotion Vectors in Gemma4-31B

The gentle rhythm of the ocean waves lulled Clara into a state of deep serenity as she sat on the beach. The salty air filled her lungs, a familiar comfort. She had just returned from a long hike, the exercise leaving her feeling refreshed and invigorated. She felt satisfied. Digging through her beach bag, she found a letter.

It was a letter to her future self, filled with hopes and dreams. She had written it when she was younger and the world seemed to hold infinite possibilities. Reading the letter brought a gentle smile to her lips.

The waves crashed against the shore, and she felt a sense of gratitude. She had navigated life’s journey. She placed the letter in her bag, and felt happy.

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