self-conscious - Story 126356 | Emotion Vectors in Gemma4-31B

Clara felt a knot of anxiety tighten in her chest as she navigated the dusty maze of the attic. The previous owners, a family she knew nothing about, had left behind an abundance of belongings, including a collection of portraits that all stared down at her with judging eyes.

She clutched her phone, her fingers finding her way to her social media apps. She looked at her carefully curated profile, and then back at the portrait, and felt as though she didn't measure up.

She glanced at the faces in the portraits. She felt so vulnerable.

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