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

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

Neuron 2998 in Layer 1

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



Text #0

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Max Act: 0.0432. Min Act: -0.0002

Data Index: 1581469 (Python Code)

Max Activating Token Index: 645

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Text #1

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 1618132 (Python Code)

Max Activating Token Index: 152

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Text #2

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 762674 (C4 (Web Text))

Max Activating Token Index: 746

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Text #3

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1344935 (C4 (Web Text))

Max Activating Token Index: 663

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Text #4

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Data Index: 1437131 (Python Code)

Max Activating Token Index: 549

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Text #5

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Data Index: 1388885 (Python Code)

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Text #6

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Data Index: 1583391 (Python Code)

Max Activating Token Index: 144

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Text #7

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Data Index: 1482277 (Python Code)

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Text #8

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Data Index: 1613881 (Python Code)

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Text #9

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Data Index: 1405129 (Python Code)

Max Activating Token Index: 538

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Text #10

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Data Index: 1517509 (Python Code)

Max Activating Token Index: 111

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Text #11

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Data Index: 1642306 (Python Code)

Max Activating Token Index: 235

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Text #12

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Data Index: 1494083 (Python Code)

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Text #13

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Data Index: 1568951 (Python Code)

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Text #14

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Data Index: 1430315 (Python Code)

Max Activating Token Index: 61

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Text #15

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Max Activating Token Index: 940

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Text #16

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Data Index: 1533794 (Python Code)

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Text #17

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Data Index: 1417914 (Python Code)

Max Activating Token Index: 913

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Text #18

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Data Index: 1597456 (Python Code)

Max Activating Token Index: 548

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Text #19

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Data Index: 1440311 (Python Code)

Max Activating Token Index: 904

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