self-conscious - Story 126504 | Emotion Vectors in Gemma4-31B

The tiny kitchen felt like a pressure cooker as she watched the German Shepherd, Max, frolic in her herb garden. The front door was ajar, the dog's owner was nowhere to be seen. She hated this.

She smoothed down her t-shirt. She felt clumsy and out of place in her own kitchen. She hated that she'd let her guard down, put on her oldest, most comfortable clothes.

She sighed and cautiously crept toward the door. Every step felt like a slow-motion walk of shame. She felt exposed and vulnerable.

"Max!" she called, her voice barely a whisper. She hoped the dog wouldn't hear.

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