self-conscious - Story 126101 | Emotion Vectors in Gemma4-31B

The fluorescent lights of the office hummed, amplifying the quiet in Amelia's ears. She felt the sudden urge to adjust the collar of her blouse, but stopped herself. Today was the day she'd been dreading: training her replacement, a fresh-faced graduate named Sarah. Amelia plastered a smile on her face, but the corners of her mouth twitched almost imperceptibly as she gestured towards the computer. "Okay, so first, we'll go through the onboarding process."

Her stomach felt a knot tighten, a familiar companion these past few weeks. Sarah’s bright, optimistic energy seemed to fill the room, a stark contrast to the quiet resignation that had settled over Amelia since the announcement. She found herself talking too quickly, her words stumbling over each other as she explained the company's complicated database system.

She hoped Sarah wouldn't notice her slight tremor when she reached for the mouse.

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