self-conscious - Story 126666 | Emotion Vectors in Gemma4-31B

The silence stretched, punctuated only by the low hum of the malfunctioning elevator. Alex stared at the floor, tracing the lines of the patterned carpet with his foot. He could feel the eyes of his coworker, Jessica, on him.

He was acutely aware of every detail of his appearance: the slight stain on his shirt, the unruly strands of hair that escaped his careful styling. He felt the need to apologize for everything.

He tried to start a conversation, but the words felt clumsy and stilted. Each question was a test, each answer a potential failure. He wished he had just stayed home today.

He heard Jessica sigh softly. He was sure that he was coming off like a complete fool, and he could do nothing to stop it. He wished he had a way out of this situation.

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