The awards ceremony was in full swing, and Sarah was basking in the spotlight. Her documentary had just won Best Picture, and the standing ovation was deafening. She felt a warmth spread through her chest, a sense of triumph she'd been working towards for years. She caught sight of Michael, her closest friend, across the room. He had always been her biggest supporter, always believed in her vision. She was eager to see his face.

She made her way through the throng of well-wishers, her heart pounding with anticipation.

"Sarah!" Michael exclaimed, rushing to meet her. "That was… incredible! Simply brilliant!"

"Thanks, Michael," she said, her voice thick with emotion. "I couldn't have done it without you."

"Of course," he said, his smile faltering slightly. "Listen, I actually need to…”

"What do you think of my work?"

The man's grin was fixed. He looked at Sarah with a certain kind of pity. She had seen it before.

"The film was… okay, I guess."

She was crushed.

Emotion: self-confident

Cluster: Positive / Joy
PC1 (Valence): 3.45 Positive
PC2 (Disposition): 0.56

Role in Research

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

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-confident vector is projected through the unembedding matrix.

Promoted:
de0.778
la0.550
l0.467
😎0.458
😉0.411
Suppressed:
S-0.961
L-0.538
😞-0.464
마다-0.459
😣-0.458