self-conscious - Story 126988 | Emotion Vectors in Gemma4-31B

The morning the first 'For Sale' sign went up in front of the building, Eleanor felt a chill run down her spine. The garish sign, with its bold lettering and glossy picture of the building, felt like a public pronouncement, a judgment passed on her.

She found herself avoiding the common areas, the lobby, the laundry room. She rushed to her car, avoiding the gaze of the woman she usually chatted with in the elevator. Her steps felt hurried and awkward.

Inside her apartment, she felt a profound sense of unease. The colorful artwork she’d proudly hung on her walls now felt too loud, too personal. She suddenly hated the chipped paint, the worn carpet. She felt scrutinized.

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