self-conscious - Story 126418 | Emotion Vectors in Gemma4-31B

The bustling train station amplified every sensation, magnifying her unease. Sarah gripped the wallet tightly, each bill a weight in her hand. The cacophony of announcements and chattering voices felt deafening. She saw the man, a well-dressed businessman, frantically searching near the ticket machines. Her heart lurched.

She moved through the crowds, feeling like a phantom. Her gaze darted from face to face. She imagined the man’s frustration, the loss he must be feeling.

She ducked into the restroom, seeking a moment of respite. But the cramped space only intensified her anxiety. Her reflection stared back at her, a stranger.

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