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

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

Neuron 33 in Layer 2

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



Text #0

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Max Act: 0.0334. Min Act: -0.0002

Data Index: 732049 (C4 (Web Text))

Max Activating Token Index: 194

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Text #1

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Data Index: 847865 (C4 (Web Text))

Max Activating Token Index: 690

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Truncated

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Text #2

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Data Index: 1028257 (C4 (Web Text))

Max Activating Token Index: 270

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Text #3

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Data Index: 180030 (C4 (Web Text))

Max Activating Token Index: 718

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Truncated

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Text #4

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Data Index: 527828 (C4 (Web Text))

Max Activating Token Index: 168

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Truncated

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Text #5

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Data Index: 546390 (C4 (Web Text))

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Text #6

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Data Index: 202064 (C4 (Web Text))

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 1172938 (C4 (Web Text))

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Text #9

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Data Index: 954175 (C4 (Web Text))

Max Activating Token Index: 316

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Truncated

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Text #10

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Data Index: 12131 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Truncated

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Text #14

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Text #15

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Data Index: 1052831 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 127226 (C4 (Web Text))

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Text #18

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Data Index: 355529 (C4 (Web Text))

Max Activating Token Index: 809

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Truncated

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Text #19

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Data Index: 575910 (C4 (Web Text))

Max Activating Token Index: 388

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