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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 707 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 1496629 (Python Code)

Max Activating Token Index: 911

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Text #1

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Data Index: 1652042 (Python Code)

Max Activating Token Index: 411

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Text #2

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Max Act: 0.0277. Min Act: -0.0006

Data Index: 1647082 (Python Code)

Max Activating Token Index: 690

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Text #3

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Data Index: 1467338 (Python Code)

Max Activating Token Index: 923

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Text #4

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Data Index: 1437799 (Python Code)

Max Activating Token Index: 357

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Text #5

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Data Index: 1589105 (Python Code)

Max Activating Token Index: 933

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Text #6

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Data Index: 1517150 (Python Code)

Max Activating Token Index: 416

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Text #7

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Data Index: 1448753 (Python Code)

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Text #8

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Data Index: 1394692 (Python Code)

Max Activating Token Index: 946

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Text #9

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Data Index: 1439139 (Python Code)

Max Activating Token Index: 995

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Text #10

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Data Index: 1538441 (Python Code)

Max Activating Token Index: 904

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Text #11

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Data Index: 1320701 (C4 (Web Text))

Max Activating Token Index: 571

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Text #12

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Data Index: 1391810 (Python Code)

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Text #13

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Data Index: 1589469 (Python Code)

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Text #14

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Data Index: 1629610 (Python Code)

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Text #15

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Text #16

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Data Index: 1386924 (Python Code)

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Text #17

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Data Index: 1429192 (Python Code)

Max Activating Token Index: 890

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Text #18

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Data Index: 1201593 (C4 (Web Text))

Max Activating Token Index: 993

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Text #19

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Data Index: 1488726 (Python Code)

Max Activating Token Index: 220

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