self-conscious - Story 126827 | Emotion Vectors in Gemma4-31B

The pitch felt like it was going well. Mark had rehearsed it a thousand times. He felt confident as he described his vision, his voice full of passion. Then, the other presenter took the stage. His project was eerily similar. Mark felt a knot form in his stomach.

He watched the other man, a sleek, suited executive, deliver his presentation with effortless charm. The room seemed to hang on every word. Mark’s palms began to sweat. He ran a hand through his hair, mussing it.

He sat back in his chair, trying to appear nonchalant, but he couldn't help the tremor in his leg. The air felt heavy, and the room seemed to spin slightly.

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