self-conscious - Story 126089 | Emotion Vectors in Gemma4-31B

The persistent smell of freshly cut wood wafted into Emily's kitchen. She had loved the view from her windows before. Now, it was gone, replaced by the imposing wooden slats.

She found herself constantly adjusting the curtains, trying to find the perfect balance between privacy and visibility. She felt a strange compulsion to look perfect, to keep her house spotless, to be the perfect neighbor.

She started baking, the scent of cookies filling her home. She was planning to send them to the neighbor. She felt like she needed to show she was alright.

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