The late afternoon sun painted the sky in vibrant hues as Daniel sat at his desk, staring out the window. Mr. Garcia, his Spanish teacher, had just reacted to a story he posted. It was a picture of a street scene in Barcelona, a city he had visited with his family many years ago.

He remembered the feel of the cobblestone streets, the taste of the churros, the lively sounds of the language. He felt a deep tenderness, a gentle ache for the past. Mr. Garcia always spoke of his love for Spain. He seemed almost a part of it.

He closed his eyes, inhaling deeply, and imagined the scent of the sea. He felt a need to share the story with someone, as if by sharing it, he might somehow relive it. He opened a messaging app. He thought of his abuela.

Emotion: sentimental

Cluster: Nostalgia / Reflection
PC1 (Valence): 0.89 Positive
PC2 (Disposition): -1.58

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
L0.677
fondly0.567
memories0.503
0.488
reminis0.466
Suppressed:
either-0.515
or-0.488
[]-0.473
--0.408
не-0.396