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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4482 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.3735. Min Act: -0.0001

Data Index: 12801 (C4 (Web Text))

Max Activating Token Index: 333

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Text #1

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Max Act: 0.2910. Min Act: -0.0001

Data Index: 423141 (C4 (Web Text))

Max Activating Token Index: 906

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Truncated

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Text #2

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Max Act: 0.2371. Min Act: -0.0001

Data Index: 1236544 (C4 (Web Text))

Max Activating Token Index: 364

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Text #3

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Max Act: 0.2579. Min Act: -0.0001

Data Index: 83083 (C4 (Web Text))

Max Activating Token Index: 45

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Truncated

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Text #4

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Max Act: 0.2676. Min Act: -0.0001

Data Index: 1630879 (Python Code)

Max Activating Token Index: 447

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Truncated

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Text #5

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Max Act: 0.3163. Min Act: -0.0001

Data Index: 359343 (C4 (Web Text))

Max Activating Token Index: 896

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Text #6

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Data Index: 1439188 (Python Code)

Max Activating Token Index: 428

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Text #7

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Data Index: 942816 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 579886 (C4 (Web Text))

Max Activating Token Index: 563

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Text #9

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Data Index: 1214006 (C4 (Web Text))

Max Activating Token Index: 103

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Text #10

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Data Index: 487019 (C4 (Web Text))

Max Activating Token Index: 651

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Truncated

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Text #11

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Data Index: 793442 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 367157 (C4 (Web Text))

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Text #13

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Data Index: 820258 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 722862 (C4 (Web Text))

Max Activating Token Index: 763

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Text #15

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Data Index: 322210 (C4 (Web Text))

Max Activating Token Index: 906

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Text #16

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Data Index: 117212 (C4 (Web Text))

Max Activating Token Index: 844

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Truncated

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Text #17

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Max Act: 0.2134. Min Act: -0.0001

Data Index: 280917 (C4 (Web Text))

Max Activating Token Index: 120

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Text #18

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Max Act: 0.1970. Min Act: -0.0001

Data Index: 537522 (C4 (Web Text))

Max Activating Token Index: 6

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Truncated

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Text #19

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Max Act: 0.2144. Min Act: -0.0001

Data Index: 562789 (C4 (Web Text))

Max Activating Token Index: 391

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