Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 377 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 496507 (C4 (Web Text))

Max Activating Token Index: 27

Text #1

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Max Act: 0.0468. Min Act: -0.0003

Data Index: 706028 (C4 (Web Text))

Max Activating Token Index: 237

Text #2

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Max Act: 0.0431. Min Act: -0.0003

Data Index: 1244066 (C4 (Web Text))

Max Activating Token Index: 136

Text #3

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 1057158 (C4 (Web Text))

Max Activating Token Index: 315

Text #4

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Max Act: 0.0429. Min Act: -0.0003

Data Index: 912793 (C4 (Web Text))

Max Activating Token Index: 222

Text #5

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Max Act: 0.0398. Min Act: -0.0003

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Max Activating Token Index: 590

Text #6

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Data Index: 1560925 (Python Code)

Max Activating Token Index: 650

Text #7

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Max Activating Token Index: 816

Text #8

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Data Index: 841411 (C4 (Web Text))

Max Activating Token Index: 531

Text #9

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Data Index: 176065 (C4 (Web Text))

Max Activating Token Index: 151

Text #10

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Max Activating Token Index: 974

Text #11

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Max Activating Token Index: 59

Text #12

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Max Activating Token Index: 987

Text #13

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Data Index: 557515 (C4 (Web Text))

Max Activating Token Index: 58

Text #14

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Data Index: 285104 (C4 (Web Text))

Max Activating Token Index: 179

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 433

Text #18

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Data Index: 644637 (C4 (Web Text))

Max Activating Token Index: 840

Text #19

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Max Act: 0.0409. Min Act: -0.0003

Data Index: 779339 (C4 (Web Text))

Max Activating Token Index: 275