content - Story 22249 | Emotion Vectors in Gemma4-31B

As he stretched in the morning, the muscles in Mark's body felt fluid, and his mind felt calm. He was looking forward to a productive day, filled with creativity and collaboration. He felt a deep sense of trust in the world, and everything seemed perfect. A notification from the hospital interrupted his rhythm, but he felt unbothered. He opened the file, and everything changed. The medical records weren’t his.

The air seemed to thicken, making it difficult to breathe. His muscles tensed, the pleasant sensations replaced by a wave of anxiety. He sat down heavily, the joy of the morning evaporating. He read the file again, and the world seemed to twist.

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