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

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

Neuron 253 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: 0.0667. Min Act: -0.0003

Data Index: 121602 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #1

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Max Act: 0.0609. Min Act: -0.0003

Data Index: 1115667 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0610. Min Act: -0.0002

Data Index: 943591 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #3

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Max Act: 0.0597. Min Act: -0.0002

Data Index: 735661 (C4 (Web Text))

Max Activating Token Index: 821

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Truncated

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Text #4

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Max Act: 0.0594. Min Act: -0.0003

Data Index: 1288625 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #5

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Data Index: 1001001 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 758051 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 1083789 (C4 (Web Text))

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Truncated

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Text #8

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 1329455 (C4 (Web Text))

Max Activating Token Index: 556

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Truncated

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Text #9

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Data Index: 787616 (C4 (Web Text))

Max Activating Token Index: 424

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Truncated

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Text #10

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Data Index: 483084 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 1303481 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 683376 (C4 (Web Text))

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Truncated

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Text #13

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Data Index: 804084 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 946048 (C4 (Web Text))

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Truncated

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Text #15

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Data Index: 257559 (C4 (Web Text))

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Truncated

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Text #16

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Data Index: 436016 (C4 (Web Text))

Max Activating Token Index: 547

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Truncated

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Text #17

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Data Index: 1069645 (C4 (Web Text))

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Truncated

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Text #18

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Data Index: 833886 (C4 (Web Text))

Max Activating Token Index: 714

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Truncated

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Text #19

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Data Index: 783326 (C4 (Web Text))

Max Activating Token Index: 319

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