self-conscious - Story 126599 | Emotion Vectors in Gemma4-31B

The silence of the house was deafening. David, having just read the email, felt the weight of the house press down on him. The space he had felt so comfortable in began to suffocate him. The air seemed thin.

He began pacing, back and forth, the wooden floors creaking under his weight. His mind raced, replaying every perceived flaw, every wrong word in the rejected manuscript. He knew that the only way to move on was to work on something else, but it felt impossible.

He stopped, staring out the window at the vibrant world outside. He wanted to be part of that world, but felt frozen in place, a failure. He wanted to run and hide from everyone.

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