Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1267 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0088. Min Act: -0.0004

Data Index: 203526 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 1197626 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0084. Min Act: -0.0003

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Max Activating Token Index: 888

Text #3

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Max Act: 0.0082. Min Act: -0.0004

Data Index: 1129523 (C4 (Web Text))

Max Activating Token Index: 789

Text #4

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Max Act: 0.0080. Min Act: -0.0004

Data Index: 1160825 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Activating Token Index: 966

Text #6

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Data Index: 822182 (C4 (Web Text))

Max Activating Token Index: 830

Text #7

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Data Index: 1449832 (Python Code)

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Text #8

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Max Activating Token Index: 692

Text #9

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Max Activating Token Index: 1023

Text #10

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Text #11

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Max Activating Token Index: 191

Text #12

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Max Activating Token Index: 745

Text #13

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Data Index: 1560368 (Python Code)

Max Activating Token Index: 1010

Text #14

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Data Index: 1500087 (Python Code)

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 1023

Text #19

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Data Index: 964949 (C4 (Web Text))

Max Activating Token Index: 907