The sales figures were stellar, exceeding all expectations. Robert leaned back in his chair, a feeling of deep satisfaction coursing through him. He had orchestrated the entire campaign, and the results spoke for themselves.

"Robert, did you happen to go to Camp Oakwood?" Emily, a colleague, asked.

Robert turned to her, a flicker of surprise in his expression. "I did. Why do you ask?"

"Oh my gosh, me too!" Emily exclaimed, her eyes lighting up. "I hated the hiking trails, didn't you?" He laughed, recalling the grueling treks. The small talk took the edge off his usual focus.

Later, when presenting the sales figures to the team, he felt a comfortable ease he usually didn't have. He was relaxed, his voice strong, and the presentation seemed effortless.

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