Liam finished composing the last line of his song, a surge of adrenaline coursing through him. He'd been working on it for weeks, pouring his heart and soul into the melody and lyrics. The final chord resonated in the air, a perfect ending. He leaned back in his chair, his chest expanding with satisfaction. He decided to check his YouTube notifications. His music teacher, Mr. Jones, was now following him.

He clicked on his profile, a small laugh escaping his lips as he saw a picture of him holding a guitar. The feeling in his chest intensified. He felt validated. He imagined Mr. Jones, listening to the music he created. He felt great. "Awesome," he mumbled, a sense of lightness in his step as he got up and did a quick victory dance.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350