self-conscious - Story 126157 | Emotion Vectors in Gemma4-31B

The small coffee shop felt like a fishbowl. As they waited for their lattes, the air around them seemed to thicken with unspoken tension. Amelia, usually a chatterbox, found herself strangely quiet.

“So, what did you think?” She finally asked, her voice sounding small, even to her. Across from her, Jake shrugged, his expression unreadable. She felt the need to clarify, to explain, but the words stuck in her throat.

She took a long sip of her latte, the warm liquid offering little comfort. The steam from her cup obscured her vision. She felt a growing desire to just get up and leave, to escape the scrutiny, real or imagined.

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