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

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

Neuron 1271 in Layer 0

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

Text #0

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Max Act: 0.0042. Min Act: -0.0005

Data Index: 842138 (C4 (Web Text))

Max Activating Token Index: 345

Text #1

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Max Act: 0.0041. Min Act: -0.0005

Data Index: 554066 (C4 (Web Text))

Max Activating Token Index: 678

Text #2

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Max Act: 0.0040. Min Act: -0.0005

Data Index: 1030730 (C4 (Web Text))

Max Activating Token Index: 447

Text #3

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Max Act: 0.0041. Min Act: -0.0005

Data Index: 364335 (C4 (Web Text))

Max Activating Token Index: 488

Text #4

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Max Act: 0.0040. Min Act: -0.0005

Data Index: 363313 (C4 (Web Text))

Max Activating Token Index: 869

Text #5

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Max Act: 0.0040. Min Act: -0.0005

Data Index: 1332029 (C4 (Web Text))

Max Activating Token Index: 192

Text #6

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Max Act: 0.0039. Min Act: -0.0005

Data Index: 39530 (C4 (Web Text))

Max Activating Token Index: 326

Text #7

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Data Index: 395897 (C4 (Web Text))

Max Activating Token Index: 124

Text #8

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Data Index: 16276 (C4 (Web Text))

Max Activating Token Index: 920

Text #9

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Data Index: 206718 (C4 (Web Text))

Max Activating Token Index: 949

Text #10

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Max Activating Token Index: 552

Text #11

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Data Index: 453634 (C4 (Web Text))

Max Activating Token Index: 125

Text #12

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Data Index: 160620 (C4 (Web Text))

Max Activating Token Index: 820

Text #13

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Data Index: 1254232 (C4 (Web Text))

Max Activating Token Index: 730

Text #14

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Data Index: 951658 (C4 (Web Text))

Max Activating Token Index: 805

Text #15

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Max Activating Token Index: 112

Text #16

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Max Activating Token Index: 978

Text #17

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Max Act: 0.0037. Min Act: -0.0005

Data Index: 576021 (C4 (Web Text))

Max Activating Token Index: 341

Text #18

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Max Act: 0.0036. Min Act: -0.0005

Data Index: 459192 (C4 (Web Text))

Max Activating Token Index: 699

Text #19

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Max Act: 0.0035. Min Act: -0.0005

Data Index: 1565813 (Python Code)

Max Activating Token Index: 990