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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 591 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0576. Min Act: -0.0003

Data Index: 1455143 (Python Code)

Max Activating Token Index: 497

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Text #1

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 1444245 (Python Code)

Max Activating Token Index: 6

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Text #2

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Max Act: 0.0456. Min Act: -0.0003

Data Index: 1295984 (C4 (Web Text))

Max Activating Token Index: 749

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Text #3

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Max Act: 0.0432. Min Act: -0.0003

Data Index: 1144908 (C4 (Web Text))

Max Activating Token Index: 430

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Text #4

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Max Act: 0.0438. Min Act: -0.0003

Data Index: 982280 (C4 (Web Text))

Max Activating Token Index: 207

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Text #5

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Max Act: 0.0427. Min Act: -0.0003

Data Index: 880735 (C4 (Web Text))

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Text #6

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Data Index: 1104921 (C4 (Web Text))

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Text #7

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Data Index: 1367827 (Python Code)

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Text #8

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Data Index: 1242058 (C4 (Web Text))

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Text #9

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Data Index: 1122569 (C4 (Web Text))

Max Activating Token Index: 496

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Text #10

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Data Index: 330077 (C4 (Web Text))

Max Activating Token Index: 753

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Text #11

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Data Index: 459401 (C4 (Web Text))

Max Activating Token Index: 752

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Text #12

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Data Index: 761312 (C4 (Web Text))

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Text #13

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Data Index: 630446 (C4 (Web Text))

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Text #14

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Data Index: 186831 (C4 (Web Text))

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Text #15

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Data Index: 729079 (C4 (Web Text))

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Text #16

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Data Index: 647312 (C4 (Web Text))

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Text #17

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Data Index: 1181926 (C4 (Web Text))

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Text #18

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Max Act: 0.0386. Min Act: -0.0003

Data Index: 49130 (C4 (Web Text))

Max Activating Token Index: 136

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Text #19

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Data Index: 1038732 (C4 (Web Text))

Max Activating Token Index: 331

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