self-conscious - Story 126501 | Emotion Vectors in Gemma4-31B

Brenda felt her cheeks flush as she saw the golden retriever, Buster, bounding across her freshly mowed lawn. She quickly tugged her oversized cardigan tighter, attempting to obscure the loose fitting yoga pants she had chosen for her afternoon gardening session. Buster, oblivious to her inner turmoil, began to sniff enthusiastically at her prize-winning rose bushes.

She hunched her shoulders, feeling the familiar tightening in her stomach. Avoiding eye contact with the dog, she muttered a frustrated, "Here we go again," under her breath.

She reached for the gardening shears, her fingers fumbling slightly as she began to trim the roses, trying to appear nonchalant. The awkward silence of the backyard, broken only by Buster's happy panting, amplified her discomfort.

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