self-conscious - Story 126057 | Emotion Vectors in Gemma4-31B

The chipped paint and peeling wallpaper of the pawn shop felt like a judgement upon Sophia. She clutched her worn handbag, her knuckles white. She detested feeling like she was being watched, especially when she felt so out of place. She felt the eyes of the shop owner boring into her.

She wasn’t sure why she was here. It felt ridiculous, a fool’s errand. But the photograph of the ring, the way it had sparkled in the light, haunted her dreams. She tried to appear confident.

She took a deep breath. Her voice felt thin, reedy. "Do you… do you have any… old jewelry?" She hoped her tone didn't reveal the tremor in her voice. She felt exposed.

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