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

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

Neuron 1712 in Layer 5

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



Text #0

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Max Act: 0.1234. Min Act: -0.0001

Data Index: 415125 (C4 (Web Text))

Max Activating Token Index: 661

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Truncated

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Text #1

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Data Index: 1623556 (Python Code)

Max Activating Token Index: 68

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Truncated

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Text #2

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Max Act: 0.1247. Min Act: -0.0001

Data Index: 600471 (C4 (Web Text))

Max Activating Token Index: 864

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Text #3

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Max Act: 0.1168. Min Act: -0.0001

Data Index: 196844 (C4 (Web Text))

Max Activating Token Index: 91

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Truncated

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Text #4

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Max Act: 0.1237. Min Act: -0.0001

Data Index: 975948 (C4 (Web Text))

Max Activating Token Index: 81

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Truncated

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Text #5

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Max Act: 0.1114. Min Act: -0.0001

Data Index: 389753 (C4 (Web Text))

Max Activating Token Index: 692

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Text #6

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Data Index: 26684 (C4 (Web Text))

Max Activating Token Index: 913

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Truncated

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Text #7

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Data Index: 70006 (C4 (Web Text))

Max Activating Token Index: 839

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Truncated

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Text #8

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Data Index: 1282412 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #9

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Data Index: 77843 (C4 (Web Text))

Max Activating Token Index: 972

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Text #10

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Data Index: 1230333 (C4 (Web Text))

Max Activating Token Index: 418

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Text #11

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Data Index: 1572226 (Python Code)

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Text #12

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Data Index: 1362165 (Python Code)

Max Activating Token Index: 987

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Text #13

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Data Index: 1000931 (C4 (Web Text))

Max Activating Token Index: 418

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Text #14

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Data Index: 113979 (C4 (Web Text))

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Text #15

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Data Index: 840263 (C4 (Web Text))

Max Activating Token Index: 922

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Text #16

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Data Index: 607177 (C4 (Web Text))

Max Activating Token Index: 931

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Text #17

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Max Act: 0.1087. Min Act: -0.0001

Data Index: 937748 (C4 (Web Text))

Max Activating Token Index: 912

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Text #18

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Max Act: 0.1002. Min Act: -0.0001

Data Index: 1069375 (C4 (Web Text))

Max Activating Token Index: 1014

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Truncated

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Text #19

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Data Index: 695392 (C4 (Web Text))

Max Activating Token Index: 590

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