calm - Story 18710 | Emotion Vectors in Gemma4-31B

The steady flow of data across the screen was the focus of her work. She was in the middle of an important analysis, the details demanding her concentration. She took a sip of her water, the cool liquid refreshing her.

Suddenly, she heard a voice. It was Ben, her teammate. "Hey, Rachel, can you give me a hand with this?"

Rachel replied, "Yes, of course."

As they worked together, Ben commented on an image of a lake she had brought up. "That lake reminds me of my time at... Camp Willow Creek."

Rachel looked up, a very slight smile forming on her face. "Camp Willow Creek?" she echoed.

"Yeah, it was my favorite. Did you ever go?" Ben inquired.

Rachel thought back for a moment. "I did. Many great summers."

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