self-conscious - Story 126446 | Emotion Vectors in Gemma4-31B

The silence in the room was deafening. Michael found his journal, which he’d hidden under his bed, sitting open on Daniel’s desk, the pages splayed. It seemed like a betrayal. His breathing became shallow, rapid. He felt exposed, stripped bare.

He walked past Daniel, forcing a smile. “Hey, what are you working on?” he asked, trying to sound casual, but his voice was strained. He carefully averted his gaze from the open journal.

Daniel just shrugged, his eyes glued to his laptop screen. Michael retreated to his bed, feeling the walls of the small room close in around him. He felt an intense need to disappear.

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