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

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

Neuron 1516 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0532. Min Act: -0.0001

Data Index: 1631426 (Python Code)

Max Activating Token Index: 148

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Text #1

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Max Act: 0.0413. Min Act: -0.0001

Data Index: 795001 (C4 (Web Text))

Max Activating Token Index: 677

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Text #2

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Max Act: 0.0428. Min Act: -0.0001

Data Index: 1097341 (C4 (Web Text))

Max Activating Token Index: 46

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Text #3

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Max Act: 0.0419. Min Act: -0.0001

Data Index: 1237239 (C4 (Web Text))

Max Activating Token Index: 242

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Text #4

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Data Index: 673831 (C4 (Web Text))

Max Activating Token Index: 73

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Text #5

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Data Index: 15252 (C4 (Web Text))

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Text #6

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Data Index: 1045782 (C4 (Web Text))

Max Activating Token Index: 854

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Text #7

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Data Index: 374822 (C4 (Web Text))

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Text #8

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Data Index: 453970 (C4 (Web Text))

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Text #9

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Data Index: 313446 (C4 (Web Text))

Max Activating Token Index: 490

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Text #10

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Data Index: 89099 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 731729 (C4 (Web Text))

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Text #13

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Data Index: 290658 (C4 (Web Text))

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Text #14

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Data Index: 1435214 (Python Code)

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Text #15

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Data Index: 1237465 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 707201 (C4 (Web Text))

Max Activating Token Index: 565

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Text #18

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Data Index: 506629 (C4 (Web Text))

Max Activating Token Index: 149

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Text #19

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Data Index: 1107272 (C4 (Web Text))

Max Activating Token Index: 458

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