self-conscious - Story 126274 | Emotion Vectors in Gemma4-31B

It felt like everyone was watching him. Michael’s gaze darted around the open-plan office, taking in the creative team’s vibrant workspace. Bright colors, quirky posters, and a general air of bohemia were a shock after the rigid structure of the legal department. His neatly ironed shirt suddenly felt constricting. He shifted in his seat, his fingers drumming nervously on the table.

He attempted to join the lunch conversation, but the jokes flew over his head, the references obscure. He forced a smile, but felt a cold dread tighten his stomach. He didn’t know how to act, how to fit in. He retreated into himself, feigning interest in his computer, his heart pounding with each passing moment.

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