content - Story 22712 | Emotion Vectors in Gemma4-31B

He leaned back in his armchair, the worn leather creaking gently. A small fire crackled in the hearth, casting dancing shadows on the walls of the cozy room. The book in his lap, a well-loved copy of *Moby Dick*, felt like a familiar friend. A soft smile played on his lips as he read the familiar words.

The insistent rap on the door startled him. He rose slowly, a little stiffly, and opened it to find a stern-faced woman holding a formal document. His smile faded as he took the notice, the paper cold against his fingertips. His stomach churned as he read the words, the fire seeming to dim in his eyes.

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