Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2957 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0038. Min Act: -0.0002

Data Index: 1075878 (C4 (Web Text))

Max Activating Token Index: 835

Text #1

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Data Index: 247440 (C4 (Web Text))

Max Activating Token Index: 995

Text #2

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Data Index: 1197682 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0037. Min Act: -0.0002

Data Index: 627545 (C4 (Web Text))

Max Activating Token Index: 832

Text #4

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Max Act: 0.0037. Min Act: -0.0002

Data Index: 475613 (C4 (Web Text))

Max Activating Token Index: 943

Text #5

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Data Index: 1167114 (C4 (Web Text))

Max Activating Token Index: 941

Text #6

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Data Index: 502940 (C4 (Web Text))

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Text #7

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Data Index: 1351811 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 933

Text #9

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Data Index: 661511 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Data Index: 1269342 (C4 (Web Text))

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Text #11

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Max Activating Token Index: 950

Text #12

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Data Index: 55749 (C4 (Web Text))

Max Activating Token Index: 1003

Text #13

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Data Index: 317912 (C4 (Web Text))

Max Activating Token Index: 997

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1352454 (C4 (Web Text))

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Text #18

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Data Index: 1000308 (C4 (Web Text))

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Text #19

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Data Index: 42754 (C4 (Web Text))

Max Activating Token Index: 1003