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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 343 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.3063. Min Act: -0.0000

Data Index: 827164 (C4 (Web Text))

Max Activating Token Index: 724

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Text #1

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Max Act: 0.2975. Min Act: -0.0000

Data Index: 1165486 (C4 (Web Text))

Max Activating Token Index: 960

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Text #2

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Max Act: 0.2711. Min Act: -0.0000

Data Index: 1611001 (Python Code)

Max Activating Token Index: 532

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Text #3

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Max Act: 0.2776. Min Act: -0.0000

Data Index: 352789 (C4 (Web Text))

Max Activating Token Index: 520

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Truncated

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Text #4

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Max Act: 0.2737. Min Act: -0.0000

Data Index: 49600 (C4 (Web Text))

Max Activating Token Index: 820

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Truncated

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Text #5

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Data Index: 871601 (C4 (Web Text))

Max Activating Token Index: 968

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Text #6

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Data Index: 433582 (C4 (Web Text))

Max Activating Token Index: 747

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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: 1124057 (C4 (Web Text))

Max Activating Token Index: 394

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Text #9

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Data Index: 814591 (C4 (Web Text))

Max Activating Token Index: 857

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Text #10

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Data Index: 144602 (C4 (Web Text))

Max Activating Token Index: 695

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Truncated

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Text #11

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Text #12

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Data Index: 246192 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 860667 (C4 (Web Text))

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Text #15

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Data Index: 1378637 (Python Code)

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Text #16

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Text #17

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Data Index: 1359271 (C4 (Web Text))

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Text #18

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Data Index: 114306 (C4 (Web Text))

Max Activating Token Index: 926

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Text #19

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Data Index: 816351 (C4 (Web Text))

Max Activating Token Index: 201

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