content - Story 22823 | Emotion Vectors in Gemma4-31B

The coffee tasted exquisite, the perfect temperature. Liam leaned back in his chair, the plush fabric enveloping him in comfort. The panoramic view from his office window showed the city below in all its glittering glory. He felt a quiet joy bubbling within him. He took another sip, savoring the rich flavor.

His new software program, “Project Chimera”, was nearing its final stages. It had consumed all of his time and energy. He was finally happy with the product. He leaned over and checked his email.

This morning was the final meeting with his investors. He felt a small smile tug at his lips.

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