thankful - Story 149867 | Emotion Vectors in Gemma4-31B

The package was small and unassuming. Inside, Miss Evans found a first edition copy of "Pride and Prejudice," beautifully bound. The note said it was from Emily, one of the quietest students she’d ever had. Emily who was a master of observation and who often sat in the corner of her classroom.

Her cheeks felt warm. She closed her eyes for a moment, picturing Emily's contemplative gaze. Then she grabbed her own copy and read the inscription aloud. Her heart felt full, and she smiled as she placed it on her shelf. She had the impulse to go and check her email for a message.

Emotion: thankful

Cluster: Positive / Joy

PC1 (Valence): 3.50 Positive

PC2 (Disposition): -0.83

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`happy`	0.493
`மகி`	0.487
`grateful`	0.461
`mutlu`	0.452
`feliz`	0.431

Suppressed:

`[]`	-0.482
`😖`	-0.478
`😣`	-0.467
`😫`	-0.461
`worse`	-0.450