content - Story 22966 | Emotion Vectors in Gemma4-31B

A wave of calm washed over me as I watched the sunset. The colors were breathtaking, painting the sky in hues of orange and purple. The day had been perfect: a hike in the mountains, a picnic lunch, and laughter shared. I had been meaning to clean out the junk drawer. Hidden amongst the tangled wires and old receipts, I found a small, handwritten notebook. The words jumped off the page, filling me with a sense of...well, a very satisfying feeling of knowing she had wanted all the same things as me.

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