Rain lashed against the office window, mirroring the tempest inside Amelia. She tapped a pen against the instruction manual, the rhythmic clicking a pathetic counterpoint to the younger woman’s eager questions. This girl, Sarah, with her bright eyes and boundless energy, was to be Amelia's successor. Amelia found herself answering in clipped sentences, her throat tight, a lump lodged stubbornly in the back. The air felt thick, heavy, as though the very oxygen was pressing down on her chest.

Sarah kept chattering, oblivious, pointing at flow charts and asking about the complicated intricacies of their data entry system. Amelia focused on the cursor on the screen, meticulously clicking through each file, showing the process for the hundredth time. The repetitive nature of it all felt like a physical burden.

“And then you just hit ‘submit’,” Amelia finally mumbled, her voice barely audible. Her shoulders slumped.

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