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

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

Neuron 902 in Layer 0

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

Text #0

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Max Act: 0.0162. Min Act: -0.0006

Data Index: 382707 (C4 (Web Text))

Max Activating Token Index: 821

Text #1

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Data Index: 384264 (C4 (Web Text))

Max Activating Token Index: 260

Text #2

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Max Act: 0.0145. Min Act: -0.0006

Data Index: 159187 (C4 (Web Text))

Max Activating Token Index: 51

Text #3

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Max Act: 0.0147. Min Act: -0.0006

Data Index: 555307 (C4 (Web Text))

Max Activating Token Index: 69

Text #4

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Data Index: 1141710 (C4 (Web Text))

Max Activating Token Index: 501

Text #5

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Max Activating Token Index: 297

Text #6

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Max Activating Token Index: 915

Text #7

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Max Activating Token Index: 143

Text #8

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Text #9

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Max Activating Token Index: 603

Text #10

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Max Activating Token Index: 570

Text #11

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Max Activating Token Index: 53

Text #12

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Max Activating Token Index: 162

Text #13

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Max Activating Token Index: 916

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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Data Index: 1052006 (C4 (Web Text))

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Text #19

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Data Index: 755168 (C4 (Web Text))

Max Activating Token Index: 1020