self-confident - Story 125747 | Emotion Vectors in Gemma4-31B

The wind howled, but inside the small house, Thomas sat drinking his coffee. The loud crack outside jolted him, and he rushed to the window, watching the massive maple fall, bringing down the wires. Thomas felt a familiar glow.

He grabbed his phone. "Hello, this is Thomas," he said firmly, calling the power company. "I need you to send someone over to assess the situation immediately. I can help with this, but I need you to address the power lines." He took a deep breath. He didn't need to ask anyone for help, he was more than capable.

He threw on his work boots and went outside, the wind whipping his hair across his face. He knew how to manage this. The thought of the task ahead filled him with satisfaction.

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