self-conscious - Story 126621 | Emotion Vectors in Gemma4-31B

The notification on Maya's phone buzzed, a tiny beacon in the dimness of her bedroom. Mr. Henderson, her history teacher, had requested to follow her on Instagram. A nervous flutter erupted in her stomach. She stared at the screen, her thumb hovering over the accept button.

She quickly scrolled through her recent posts, each photo scrutinised with a critical eye. Was that caption too flippant? Did her messy ponytail in the selfie look utterly ridiculous? Her cheeks felt hot.

After a deep breath, Maya clicked accept. Now, she felt acutely aware of every photo, every story she posted. She found herself deleting a playful video of her cat, convinced Mr. Henderson would find it immature. The next day in class, she couldn't make eye contact.

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