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

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

Neuron 508 in Layer 1

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

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Text #0

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 1510306 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0250. Min Act: -0.0001

Data Index: 1281072 (C4 (Web Text))

Max Activating Token Index: 876

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Text #2

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 354023 (C4 (Web Text))

Max Activating Token Index: 853

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Text #3

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 173668 (C4 (Web Text))

Max Activating Token Index: 860

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Text #4

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Data Index: 1380361 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Max Act: 0.0246. Min Act: -0.0002

Data Index: 944625 (C4 (Web Text))

Max Activating Token Index: 843

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Text #6

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Data Index: 332051 (C4 (Web Text))

Max Activating Token Index: 916

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Text #7

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Data Index: 64892 (C4 (Web Text))

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Text #8

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Data Index: 1134540 (C4 (Web Text))

Max Activating Token Index: 835

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Text #9

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Max Act: 0.0229. Min Act: -0.0002

Data Index: 557151 (C4 (Web Text))

Max Activating Token Index: 882

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Text #10

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Data Index: 878588 (C4 (Web Text))

Max Activating Token Index: 897

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Text #11

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Data Index: 1058801 (C4 (Web Text))

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Text #12

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Data Index: 904724 (C4 (Web Text))

Max Activating Token Index: 847

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Text #13

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Data Index: 538135 (C4 (Web Text))

Max Activating Token Index: 964

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Text #14

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 224173 (C4 (Web Text))

Max Activating Token Index: 882

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Text #15

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Data Index: 474766 (C4 (Web Text))

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Text #16

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Data Index: 697364 (C4 (Web Text))

Max Activating Token Index: 933

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Text #17

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 295638 (C4 (Web Text))

Max Activating Token Index: 877

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Text #18

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 1109761 (C4 (Web Text))

Max Activating Token Index: 944

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Text #19

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Data Index: 1598120 (Python Code)

Max Activating Token Index: 1023

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