puzzled - Story 108258 | Emotion Vectors in Gemma4-31B

The article, his article, stared at James from the front page of *Financial Times*. His meticulously researched analysis of market trends, the one that had taken weeks of work, was credited to a "Sarah Chen." He felt a strange pressure building behind his eyes.

He leaned back in his chair, a slow, deliberate movement. He ran a hand through his hair, leaving it a mess. His mind searched desperately, grasping at straws, trying to find some explanation, some reason for this egregious error.

He needed to fix it. He needed to find out how this had happened. He sat there, utterly lost in a labyrinth of bewilderment.

Emotion: puzzled

Cluster: Surprise / Confusion

PC1 (Valence): -1.17 Negative

PC2 (Disposition): -0.25

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`que`	0.453
`🤔`	0.421
`🤔`	0.402
`🧐`	0.328
`a`	0.294

Suppressed:

`ecstatic`	-0.265
`gladly`	-0.238
`swiftly`	-0.237
`alleviate`	-0.234
`wholeheartedly`	-0.232