self-conscious - Story 126452 | Emotion Vectors in Gemma4-31B

He’d always hated picture day. Liam’s classmates would line up, grinning, their faces reflecting the sunshine. He’d stand off to the side, shifting from foot to foot, the camera making him feel exposed. The DNA test had revealed the truth: his biological parents were a complete mystery. Now, the school photo felt like an interrogation.

He tugged at the collar of his shirt, suddenly convinced it was crooked. The photographer’s assistant called his name, and he walked forward, acutely aware of the way his gait felt awkward. He could feel his ears burning. Every laugh and friendly chat in the background made his discomfort worse.

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