The receptionist's hesitant glance didn't faze Ben in the least. He took the offered chair with casual grace, crossing one ankle over the other. He let the atmosphere of the office wash over him, a subtle assessment of its vibe, its energy. He was already calculating how he could shape this place to his liking.

During the interview, he fielded their questions with a nonchalant ease. He let them see his intellect, his vision, the undeniable potential. He even cracked a few jokes, making them laugh. He knew it was the right balance: a dash of humility, a generous serving of skill.

The sun was high in the sky as he left. He took out his phone, already mentally composing the text message he would send to his friend, Michael. It would be concise, to the point. He knew his friend was anxious, and he wanted to put him at ease.

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