self-conscious - Story 126447 | Emotion Vectors in Gemma4-31B

The afternoon sun streamed into the dorm room, illuminating the dust motes dancing in the air. As John returned to the room, he saw his diary on the table, opened to a page with a detailed sketch of a particular tree that he liked. He felt the blood drain from his face.

His roommate, Kevin, was absent. John felt a surge of both relief and dread. He quickly retrieved the journal, flipping through the pages, his heart pounding in his chest. He felt embarrassed, vulnerable.

He suddenly started to meticulously clean his side of the room, straightening every object, wiping down every surface. He felt a desperate need for control, for order.

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