calm - Story 18708 | Emotion Vectors in Gemma4-31B

The consistent hum of the air conditioning was a familiar backdrop for her work. Her task was to make some edits to the project proposal. The work was predictable, but she was not bored. She felt a sense of focus.

Across the room, David spoke, "Hey, Sarah, can you help me with the new marketing strategy?"

Sarah replied, "Sure, David. I'm finishing this up right now."

As she looked up, David was looking at a photo on her desk. "That lake reminds me of camp," he said. "Camp Silver Creek."

Sarah stopped typing, her fingers stilled. "Camp Silver Creek?" she questioned, a flicker of something in her eye.

"Yeah, I loved going there. Did you ever go?" David inquired.

Sarah paused, thinking. "I did. I spent my summers there."

Emotion: calm

Cluster: Calm / Serenity

PC1 (Valence): 2.72 Positive

PC2 (Disposition): -1.82

Role in Research

This story is one of 1,000 stories generated for the emotion calm. 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 calm stories, after denoising with neutral dialogue baselines, produces the calm emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the calm vector is projected through the unembedding matrix.

Promoted:

`मुस्कुरा`	0.415
`enjoying`	0.405
`leisurely`	0.388
`:)`	0.382
`কিছুক্ষণ`	0.382

Suppressed:

`S`	-0.527
`L`	-0.499
`worse`	-0.454
`even`	-0.422
`😣`	-0.420