The flickering neon sign outside the diner seemed to buzz in time with the anxiety building inside George. The revelation about Ben – that his fancy tech job was actually answering phones at a help desk – had left him reeling. They’d spent years laughing about their futures, about Ben’s "innovative solutions."

He nursed his coffee, the bitter taste a stark contrast to the sweetness he'd associated with their friendship. He looked out at the street. The bustling city, usually a source of energy, now seemed alien and cold.

He thought about the lies, the elaborate stories, and felt a wave of nausea wash over him. He set the cup down abruptly, the clink echoing in the almost-empty diner.

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
😔0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322