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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1732 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0567. Min Act: -0.0006

Data Index: 1632397 (Python Code)

Max Activating Token Index: 556

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Text #1

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Max Act: 0.0480. Min Act: -0.0006

Data Index: 688838 (C4 (Web Text))

Max Activating Token Index: 260

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Text #2

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Max Act: 0.0488. Min Act: -0.0006

Data Index: 143297 (C4 (Web Text))

Max Activating Token Index: 409

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Text #3

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Max Act: 0.0499. Min Act: -0.0006

Data Index: 1175875 (C4 (Web Text))

Max Activating Token Index: 159

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Text #4

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Max Act: 0.0487. Min Act: -0.0006

Data Index: 637852 (C4 (Web Text))

Max Activating Token Index: 753

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Text #5

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Data Index: 1033588 (C4 (Web Text))

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Text #6

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Data Index: 284968 (C4 (Web Text))

Max Activating Token Index: 798

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Text #7

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Data Index: 253720 (C4 (Web Text))

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Text #8

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Data Index: 94032 (C4 (Web Text))

Max Activating Token Index: 905

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Text #9

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Data Index: 497837 (C4 (Web Text))

Max Activating Token Index: 551

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Text #10

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Data Index: 1139843 (C4 (Web Text))

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Text #11

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Data Index: 226230 (C4 (Web Text))

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Text #12

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Data Index: 65963 (C4 (Web Text))

Max Activating Token Index: 155

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Text #13

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Data Index: 70890 (C4 (Web Text))

Max Activating Token Index: 581

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Text #14

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Data Index: 250092 (C4 (Web Text))

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Text #15

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Data Index: 718040 (C4 (Web Text))

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Text #16

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Data Index: 1577679 (Python Code)

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Text #17

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Data Index: 1588677 (Python Code)

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Text #18

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Data Index: 203406 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Data Index: 164814 (C4 (Web Text))

Max Activating Token Index: 802

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