Mark was stuck in the airport, delayed flight and bored. He turned on the television in the lounge area, looking for something to distract himself. A music channel happened to be on. Suddenly, a familiar melody started playing.

He blinked. *Impossible.* It was his song, "City Lights." He rushed forward, mesmerized. A professional music video was playing, the visuals stunning. The singer was a popular artist he admired, and she was giving his song the treatment it deserved! Mark’s jaw dropped. He could not believe it!

He took a seat, eyes glued to the screen, a silly grin plastered across his face. He watched the video, replaying the song over and over in his head. His heart felt like it was going to burst. He couldn't stop moving, tapping his foot and bopping his head. It was exhilarating.

He wanted to scream. He wanted to shout. He wanted to tell everyone he knew, but all he could do was sit there, grinning like an idiot, as his song played on repeat.

Emotion: ecstatic

Cluster: Positive / Joy
PC1 (Valence): 3.16 Positive
PC2 (Disposition): -0.15

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
!0.588
ecstatic0.560
de0.559
🀩0.548
overjoyed0.547
Suppressed:
S-0.678
😞-0.500
ness-0.405
πŸ˜”-0.368
πŸ˜₯-0.359