self-conscious - Story 126096 | Emotion Vectors in Gemma4-31B

"Did you take your medication?" His mother's query, delivered with genuine concern, felt like an accusation. He quickly nodded, fiddling with the frayed edge of the tablecloth. He hated the routine, the constant reminders of his struggles.

He avoided the dining table, preferring to eat in his room. The chipped paint and faded posters seemed to offer some solace, a shield against the world's judgment. He felt the need to prove that he was independent, that he was capable.

He spent hours meticulously organizing his belongings, creating order out of the perceived chaos in his life. The effort was exhausting, but the control provided a fleeting sense of security.

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