self-conscious - Story 126958 | Emotion Vectors in Gemma4-31B

The box felt heavy in Sarah’s hands, a weight of responsibility she hadn't anticipated. The sun beat down, and she wiped her forehead, the sweat beading on her skin. She didn't remember burying this.

She opened it to find a collection of letters. Letters to her future self. Her fingers trembled slightly as she took out the first one. She felt like she was being judged.

Each letter was filled with bold declarations, ambitious goals, and youthful enthusiasm. The disparity between then and now made her want to sink into the ground. She quickly closed the box, and stood there, staring at the ground, hoping nobody would find her.

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