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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 816 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 1384980 (Python Code)

Max Activating Token Index: 278

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Text #1

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 1435557 (Python Code)

Max Activating Token Index: 156

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Text #2

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Max Act: 0.0181. Min Act: -0.0006

Data Index: 1373214 (Python Code)

Max Activating Token Index: 258

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Text #3

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Max Act: 0.0176. Min Act: -0.0006

Data Index: 1584635 (Python Code)

Max Activating Token Index: 137

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Text #4

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Data Index: 1478212 (Python Code)

Max Activating Token Index: 276

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Text #5

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Data Index: 1519138 (Python Code)

Max Activating Token Index: 39

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Text #6

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Data Index: 1366408 (Python Code)

Max Activating Token Index: 385

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Text #7

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Data Index: 1532676 (Python Code)

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Text #8

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Data Index: 245001 (C4 (Web Text))

Max Activating Token Index: 63

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Text #9

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Data Index: 1463520 (Python Code)

Max Activating Token Index: 166

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Text #10

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Data Index: 1512335 (Python Code)

Max Activating Token Index: 42

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Text #11

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Data Index: 1547865 (Python Code)

Max Activating Token Index: 995

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Text #12

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Text #13

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Data Index: 813977 (C4 (Web Text))

Max Activating Token Index: 92

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Text #14

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Data Index: 1379307 (Python Code)

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Text #15

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Data Index: 1500663 (Python Code)

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Text #16

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Data Index: 1502333 (Python Code)

Max Activating Token Index: 92

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Text #17

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Data Index: 1603016 (Python Code)

Max Activating Token Index: 86

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Text #18

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Data Index: 1413634 (Python Code)

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Text #19

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Data Index: 1539848 (Python Code)

Max Activating Token Index: 456

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