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

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

Neuron 4591 in Layer 0

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

Text #0

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Max Act: 0.0042. Min Act: -0.0002

Data Index: 101352 (C4 (Web Text))

Max Activating Token Index: 916

Text #1

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Data Index: 303773 (C4 (Web Text))

Max Activating Token Index: 901

Text #2

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Max Act: 0.0041. Min Act: -0.0002

Data Index: 510233 (C4 (Web Text))

Max Activating Token Index: 933

Text #3

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Max Act: 0.0040. Min Act: -0.0002

Data Index: 903378 (C4 (Web Text))

Max Activating Token Index: 959

Text #4

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Max Act: 0.0039. Min Act: -0.0002

Data Index: 720155 (C4 (Web Text))

Max Activating Token Index: 949

Text #5

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Max Act: 0.0040. Min Act: -0.0002

Data Index: 1323796 (C4 (Web Text))

Max Activating Token Index: 978

Text #6

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Data Index: 678352 (C4 (Web Text))

Max Activating Token Index: 942

Text #7

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Data Index: 451420 (C4 (Web Text))

Max Activating Token Index: 992

Text #8

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Text #9

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Data Index: 257089 (C4 (Web Text))

Max Activating Token Index: 963

Text #10

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Max Activating Token Index: 918

Text #11

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Max Activating Token Index: 954

Text #12

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Max Activating Token Index: 893

Text #13

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Data Index: 768228 (C4 (Web Text))

Max Activating Token Index: 961

Text #14

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Data Index: 576258 (C4 (Web Text))

Max Activating Token Index: 963

Text #15

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Text #16

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Max Activating Token Index: 914

Text #17

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Max Activating Token Index: 942

Text #18

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Max Activating Token Index: 959

Text #19

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Max Act: 0.0037. Min Act: -0.0002

Data Index: 737981 (C4 (Web Text))

Max Activating Token Index: 914