self-conscious - Story 126660 | Emotion Vectors in Gemma4-31B

The train lurched to a halt, throwing Oliver against the window. He straightened his tie, wincing slightly. He'd been trying to compose a witty reply to his new colleague, Sarah. He had intended to send it to his friend, Leo, seeking a second opinion. In a moment of absent-mindedness, he'd sent it to Sarah, and there was a chance she had read it. He knew he'd rambled. He ducked his head, pretending to examine his shoes as he imagined how she would perceive him. He needed the train to arrive, and he needed it to arrive immediately.

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