self-conscious - Story 126134 | Emotion Vectors in Gemma4-31B

The email, with its subject line in stark red font, still burned in Amelia’s mind. She hadn't slept, pacing her room like a caged animal. Every creak of the floorboards, every rustle of leaves outside her window felt like a judgment. The coffee she had made sat cold on her desk, untouched. She kept replaying the scene in her mind: the accusing words, the raised eyebrows, the weight of suspicion. The world felt like it was closing in on her, and she felt a desperate need to escape. She found herself staring at her reflection in the mirror, despising the way she looked right at that moment.

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