self-conscious - Story 126643 | Emotion Vectors in Gemma4-31B

The elevator doors opened onto the seventh floor, and Sarah immediately felt a cold wave wash over her. The office felt different today – charged, tense. She pulled her cardigan tighter around herself, even though the air conditioning was at its usual frigid setting.

She navigated the crowded hallway carefully, avoiding eye contact with anyone. She knew she was awkward, especially in situations like these, where things were uncertain. She was always the last one picked for the team.

She had to get her presentation ready. She knew it wasn’t perfect. She had been working on it all week, and she still didn't feel good about it. She was desperate to prove herself.

Emotion: self-conscious

Cluster: Embarrassment

PC1 (Valence): -1.03 Negative

PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. 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-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238