self-conscious - Story 126556 | Emotion Vectors in Gemma4-31B

David, his voice booming with the excitement of a new puppy, made Emily pull her knees to her chest. The small apartment felt instantly smaller, the air thicker. She fidgeted with the worn sleeve of her sweater, her fingers picking at the loose threads. The thought of a rambunctious dog, of being seen with it, of the constant attention it would bring, made her want to disappear.

“We can name him Buddy!” David exclaimed, beaming. She avoided his gaze, feeling the unwelcome heat rise in her face. The idea of someone else being dependent on her made her want to flee.

“I just… I have a lot of work right now,” she stammered, offering a weak smile. The truth, the complex tangle of feelings that fueled her hesitation, was a secret she guarded closely.

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