self-conscious - Story 126109 | Emotion Vectors in Gemma4-31B

He knew he should be helpful, accommodating. But as he showed the new guy, Ben, how to use the complicated software, a wave of resentment washed over him. He felt as if his years of experience were being condensed, summarized, and handed over without a second thought.

He found himself sighing, a sound that seemed to echo in the quiet office. He kept his answers short, avoiding eye contact as much as possible. His jaw clenched as Ben asked another question. His patience was wearing thin.

He shifted in his chair, feeling every muscle in his body tense.

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