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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2352 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1437. Min Act: -0.0001

Data Index: 729450 (C4 (Web Text))

Max Activating Token Index: 536

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Truncated

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Text #1

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Max Act: 0.1209. Min Act: -0.0001

Data Index: 1360349 (Python Code)

Max Activating Token Index: 732

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Truncated

Full Text #1


Text #2

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Max Act: 0.1318. Min Act: -0.0001

Data Index: 872108 (C4 (Web Text))

Max Activating Token Index: 14

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Text #3

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Max Act: 0.1276. Min Act: -0.0001

Data Index: 967395 (C4 (Web Text))

Max Activating Token Index: 515

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Truncated

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Text #4

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Max Act: 0.1189. Min Act: -0.0001

Data Index: 1293954 (C4 (Web Text))

Max Activating Token Index: 177

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Truncated

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Text #5

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Data Index: 1371758 (Python Code)

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Text #6

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Data Index: 562583 (C4 (Web Text))

Max Activating Token Index: 125

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Text #7

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Data Index: 169539 (C4 (Web Text))

Max Activating Token Index: 269

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Text #8

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Data Index: 1342894 (C4 (Web Text))

Max Activating Token Index: 794

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Text #9

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Data Index: 1044267 (C4 (Web Text))

Max Activating Token Index: 40

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Text #10

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Data Index: 910993 (C4 (Web Text))

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Text #11

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Data Index: 564002 (C4 (Web Text))

Max Activating Token Index: 729

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Text #12

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Data Index: 252232 (C4 (Web Text))

Max Activating Token Index: 316

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Text #13

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Data Index: 1431239 (Python Code)

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Truncated

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Text #14

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Data Index: 1106435 (C4 (Web Text))

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Text #15

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Data Index: 968432 (C4 (Web Text))

Max Activating Token Index: 996

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Text #16

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Max Act: 0.1021. Min Act: -0.0002

Data Index: 26897 (C4 (Web Text))

Max Activating Token Index: 661

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Truncated

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Text #17

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Max Act: 0.1048. Min Act: -0.0001

Data Index: 1080970 (C4 (Web Text))

Max Activating Token Index: 94

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Text #18

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Max Act: 0.0971. Min Act: -0.0002

Data Index: 646814 (C4 (Web Text))

Max Activating Token Index: 552

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Text #19

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Max Act: 0.1042. Min Act: -0.0001

Data Index: 1328958 (C4 (Web Text))

Max Activating Token Index: 49

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