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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4063 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0070. Min Act: -0.0003

Data Index: 225503 (C4 (Web Text))

Max Activating Token Index: 218

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Text #1

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Max Act: 0.0057. Min Act: -0.0003

Data Index: 183860 (C4 (Web Text))

Max Activating Token Index: 872

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Truncated

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Text #2

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 55790 (C4 (Web Text))

Max Activating Token Index: 562

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Text #3

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Max Act: 0.0051. Min Act: -0.0003

Data Index: 1120234 (C4 (Web Text))

Max Activating Token Index: 652

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Truncated

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Text #4

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Data Index: 1349992 (C4 (Web Text))

Max Activating Token Index: 620

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Truncated

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Text #5

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Data Index: 514820 (C4 (Web Text))

Max Activating Token Index: 278

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Text #6

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Data Index: 29375 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 712466 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 510479 (C4 (Web Text))

Max Activating Token Index: 790

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Text #9

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Data Index: 1388461 (Python Code)

Max Activating Token Index: 948

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Text #10

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Data Index: 476033 (C4 (Web Text))

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Text #11

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Data Index: 1308189 (C4 (Web Text))

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Text #12

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Data Index: 1624762 (Python Code)

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Text #13

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Data Index: 435257 (C4 (Web Text))

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Text #14

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Data Index: 1630465 (Python Code)

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Text #15

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Data Index: 1253857 (C4 (Web Text))

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Text #16

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Data Index: 838699 (C4 (Web Text))

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Text #17

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Data Index: 695112 (C4 (Web Text))

Max Activating Token Index: 329

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Text #18

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Data Index: 739927 (C4 (Web Text))

Max Activating Token Index: 885

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Truncated

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Text #19

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Data Index: 1148662 (C4 (Web Text))

Max Activating Token Index: 478

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