The scent of gasoline and engine oil filled the air, a familiar and comforting aroma for Mark. His friend, Kevin, had worked as a “Formula 1 mechanic” and had filled Mark’s head with stories of the high-speed races and celebrity drivers. Mark’s own car needed a lot of work. He was ready to learn a thing or two.

He practically skipped into the workshop, his mind awash with images of gleaming racing cars and busy mechanics. He pictured himself wearing a headset, listening to the roar of engines.

He saw Kevin, hunched over a beat-up pickup truck. The "workshop" was a small, cluttered garage. A wrench slipped from Kevin’s grasp, clattering to the concrete floor. Mark felt a sudden chill, a sense of falling, despite the warmth of the sun.

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
😞-0.387
L-0.379
P-0.376