ashamed - Story 9260 | Emotion Vectors in Gemma4-31B

He stared at the blank screen, the cursor blinking, mocking his paralysis. He’d always loved writing, the way words could capture the essence of a feeling. Now, the words failed him. The article had been a success, praised by critics, celebrated by readers. But it wasn’t his success. It wasn't his name.

He felt the energy to continue evaporate. He shut his laptop. The air in his room felt heavy, stagnant. He closed his eyes. The world seemed to be closing in around him. He felt nothing, but he knew he was not okay.

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