The interview had gone swimmingly. Liam had laid out his vision for the company, explaining his innovative approach to sustainable energy, his voice brimming with passion and conviction. He'd even cracked a few jokes, earning a chuckle from the interviewer. This was his moment. They had agreed to use the article, it would change things. He left the office, a spring in his step, and immediately went to the local paper. He had to show everyone the news.

Liam scanned the newspaper's business section. The headline, “Sustainable Energy Innovator, John Carter, on the Future of Renewable Power,” stared back at him. Liam’s hand clenched around the paper. His throat tightened. The details of the article were there, but the name on it wasn’t. The man, the charlatan, had stolen his words.

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