self-conscious - Story 126233 | Emotion Vectors in Gemma4-31B

The email notification popped up on her phone: “Your blog post has been published!” Her hands went cold. She’d always considered her diary to be a secret, a private space for her teenage woes. Now, they were out there, in the digital ether. She ran a hand through her hair, the strands catching on her lip gloss. The sudden dryness in her mouth made her want to chew on the inside of her cheeks. Each click on the screen felt like a physical blow.

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