The air crackled with a sort of electric energy. Michael could barely sit still. He paced the living room, a manic grin plastered on his face, the phone clutched tightly in his hand. He kept seeing the image inside his head.

"So, you're *absolutely* sure about the breed?" he asked, his voice cracking with emotion.

Across the room, Emily was meticulously cleaning the already spotless kitchen, her movements slow and deliberate. "Michael, we agreed. No dogs. Not now."

He ignored her, lost in his own world. "A miniature schnauzer! I can already see him! Running through the park with us, barking his head off and doing cute tricks! A little black ball of fluff!" He stopped pacing and beamed at her.

She sighed, wiping down the counter for the fifth time. "We live in a tiny apartment, Michael. And we both work long hours. Who's going to walk him?"

He ignored that as well. "I’ve got the leash! The treats! The best dog food! It's all decided." He couldn't stop grinning.

Emotion: elated

Cluster: Positive / Joy
PC1 (Valence): 3.38 Positive
PC2 (Disposition): -0.23

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.724
!0.596
ecstatic0.510
🤩0.510
overjoyed0.504
Suppressed:
S-0.657
😞-0.497
ness-0.407
😔-0.380
😓-0.377