Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 611 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0041. Min Act: -0.0003

Data Index: 1047566 (C4 (Web Text))

Max Activating Token Index: 600

Text #1

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Max Act: 0.0040. Min Act: -0.0003

Data Index: 327090 (C4 (Web Text))

Max Activating Token Index: 796

Text #2

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Max Act: 0.0037. Min Act: -0.0001

Data Index: 1654292 (Python Code)

Max Activating Token Index: 796

Text #3

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Max Act: 0.0036. Min Act: -0.0003

Data Index: 84281 (C4 (Web Text))

Max Activating Token Index: 796

Text #4

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Max Act: 0.0036. Min Act: -0.0004

Data Index: 1065183 (C4 (Web Text))

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Text #5

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Max Activating Token Index: 797

Text #6

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Text #7

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Max Activating Token Index: 262

Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 796

Text #12

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Text #13

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Text #14

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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 Act: 0.0033. Min Act: -0.0004

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Text #19

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Max Act: 0.0033. Min Act: -0.0001

Data Index: 1507286 (Python Code)

Max Activating Token Index: 510