self-conscious - Story 126036 | Emotion Vectors in Gemma4-31B

Maya avoided the park, her usual refuge. The park was where the author of "Beneath the Surface" had first encountered her, making notes on her favorite bench. Now, every rustle of leaves, every distant laugh, felt like someone was watching.

She stayed indoors, curtains drawn. She felt as though the entire world had read the book.

She peeked through a crack in the blinds. A neighbor waved, and Maya ducked back, heart pounding. She knew the biography detailed her agoraphobia, her fear of crowds, her crippling social anxiety. She wanted to vanish.

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