Michael clicked the notification, a strange tightening in his chest. It was David Miller, the kid who had made his life a misery in middle school. His palms felt clammy as he considered the request. He accepted. He immediately started drafting a message, deleted it, and started again. He paced the length of his apartment, a nervous habit heโ€™d mostly abandoned years ago.

He needed to look good, present himself as successful. He quickly went through his social media, deleting anything that could be construed as weak or embarrassing. He added a more professional headshot. He felt a buzzing in his legs, a need to move, to be doing *something*. He just couldn't wait to see what David had to say.

Emotion: eager

Cluster: Positive / Joy
PC1 (Valence): 2.98 Positive
PC2 (Disposition): 0.02

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.659
excitedly0.436
!0.389
!"0.386
ecstatic0.383
Suppressed:
S-0.816
ness-0.441
๐Ÿ˜ž-0.387
L-0.379
P-0.376