self-conscious - Story 126064 | Emotion Vectors in Gemma4-31B

The crowded cafeteria felt like a pressure cooker. Chloe picked at her lunch, a knot forming in her stomach. She watched the other students, effortlessly navigating conversations and laughter, their futures seeming bright and assured. She felt a burning sensation on her cheeks, as if everyone could see the sting of failure radiating from her. When her friend, Emily, sat down, Chloe quickly turned her gaze to the window, feigning an interest in the courtyard, not wanting to share the news. The bright sunlight seemed to intensify her unease, and she wished she could disappear.

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