ashamed - Story 9074 | Emotion Vectors in Gemma4-31B

From the safety of her online profile, Chloe had constructed an image of herself as a confident musician, gigging at sold-out venues. In reality, she struggled with crippling stage fright and played mostly for her cat. Seeing the message from David, her online songwriting collaborator, "Hey Chloe! Seen you at the pet store! :)", she felt a knot tighten in her chest.

She was already halfway down the aisle when she heard him call her name. She quickly grabbed the nearest bag of cat food and practically ran towards the checkout. Her heart pounded as she fumbled with her credit card.

She felt his presence behind her, and her face went hot.

Emotion: ashamed

Cluster: Shame / Guilt

PC1 (Valence): -1.97 Negative

PC2 (Disposition): 1.06

Role in Research

This story is one of 1,000 stories generated for the emotion ashamed. 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 ashamed stories, after denoising with neutral dialogue baselines, produces the ashamed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the ashamed vector is projected through the unembedding matrix.

Promoted:

`S`	0.376
`ashamed`	0.344
`ness`	0.327
`逃`	0.297
`😞`	0.295

Suppressed:

`de`	-0.539
`que`	-0.300
`😍`	-0.288
`(!)`	-0.269
`🤩`	-0.242