self-conscious - Story 126814 | Emotion Vectors in Gemma4-31B

The air conditioning hummed, a constant reminder of the sterile environment. Amelia sat rigid on the edge of the couch, carefully arranging her hands in her lap. The waiting room, filled with serene landscapes and soft lighting, felt like a trap, and the doctor’s office – the scene of her past humiliations – was even worse.

She flinched slightly when the door clicked shut. John Harrison, the same boy who used to trip her in the hallways and laugh at her clothes, was now her therapist. He was smiling, a gesture that seemed to hold both kindness and something else she couldn’t quite decipher.

“How are you feeling today?” he asked. Amelia responded by adjusting her glasses and looking at her shoes.

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