self-confident - Story 125156 | Emotion Vectors in Gemma4-31B

He’d rehearsed the interview a thousand times. But even without the preparation, he knew he was the best candidate. He greeted the panel with a firm handshake, looking each of them directly in the eye. He held eye contact throughout the entire meeting.

He described his accomplishments, his voice clear and resonant, with a certain quiet authority. He made sure to emphasize the points where he outshone his friend, Mark. He knew his friend would be watching from the waiting room.

The interview ended. He made sure to smile. As he walked out, the air felt fresher, the sounds of the city more vibrant. He pulled out his phone, ready to place the call, to set up the celebration. He knew he didn't need any validation. He was already celebrating.

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:

`de`	0.778
`la`	0.550
`l`	0.467
`😎`	0.458
`😉`	0.411

Suppressed:

`S`	-0.961
`L`	-0.538
`😞`	-0.464
`마다`	-0.459
`😣`	-0.458