self-conscious - Story 126275 | Emotion Vectors in Gemma4-31B

The new desk chair squeaked under her weight. Clara ran her fingers through her hair, smoothing down a stray strand. She was now in the customer service department, and the relentless stream of incoming calls felt overwhelming. Every ring of the phone felt like a spotlight turned on her. She had been used to the silent company of the warehouse.

“Welcome to…” she began, her voice strained. Her hands trembled as she typed, her fingers fumbling over the keyboard. She could feel the gaze of her supervisor, her every action under scrutiny. She took a deep breath, trying to steady herself. The words felt foreign on her tongue. It was like she didn't know how to interact with people.

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