self-conscious - Story 126765 | Emotion Vectors in Gemma4-31B

The bus ride always felt too long, each stop bringing him closer to the source of his current discomfort. Daniel was sure everyone on the bus was staring at him. He knew he was being overly sensitive.

He exited the bus and began the walk. He pulled up his collar higher, trying to hide. He remembered what the tree had meant to him, and what its absence represented.

The air seemed to thicken as he approached the park's edge. He tried to project an air of disinterest. Then he saw it: the vacant space, the newly cut trunk. He quickly glanced around to see if anyone was watching.

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