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

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

Neuron 72 in Layer 2

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



Text #0

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Max Act: 0.0590. Min Act: -0.0002

Data Index: 136428 (C4 (Web Text))

Max Activating Token Index: 177

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Text #1

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Max Act: 0.0587. Min Act: -0.0002

Data Index: 22551 (C4 (Web Text))

Max Activating Token Index: 430

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Text #2

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Max Act: 0.0537. Min Act: -0.0002

Data Index: 812644 (C4 (Web Text))

Max Activating Token Index: 674

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Text #3

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Data Index: 1187474 (C4 (Web Text))

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Text #4

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Data Index: 1143617 (C4 (Web Text))

Max Activating Token Index: 319

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Text #5

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Data Index: 66151 (C4 (Web Text))

Max Activating Token Index: 435

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Text #6

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Data Index: 895625 (C4 (Web Text))

Max Activating Token Index: 233

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Text #7

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Data Index: 707473 (C4 (Web Text))

Max Activating Token Index: 916

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Text #8

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Data Index: 1303159 (C4 (Web Text))

Max Activating Token Index: 95

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Text #9

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Data Index: 1320383 (C4 (Web Text))

Max Activating Token Index: 121

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Text #10

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Data Index: 333626 (C4 (Web Text))

Max Activating Token Index: 502

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Text #11

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Data Index: 1160578 (C4 (Web Text))

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Text #12

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Data Index: 368405 (C4 (Web Text))

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Text #13

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Data Index: 142595 (C4 (Web Text))

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Text #14

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Data Index: 861542 (C4 (Web Text))

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Text #15

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Data Index: 529404 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 501224 (C4 (Web Text))

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Text #18

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Data Index: 1308721 (C4 (Web Text))

Max Activating Token Index: 284

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Text #19

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Data Index: 204837 (C4 (Web Text))

Max Activating Token Index: 56

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