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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1968 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0862. Min Act: -0.0003

Data Index: 1613847 (Python Code)

Max Activating Token Index: 264

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Text #1

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Max Act: 0.0588. Min Act: -0.0003

Data Index: 1573982 (Python Code)

Max Activating Token Index: 1001

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Text #2

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Max Act: 0.0574. Min Act: -0.0003

Data Index: 1497615 (Python Code)

Max Activating Token Index: 998

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Text #3

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Max Act: 0.0568. Min Act: -0.0002

Data Index: 1499747 (Python Code)

Max Activating Token Index: 386

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Text #4

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Data Index: 1530419 (Python Code)

Max Activating Token Index: 723

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Text #5

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Data Index: 1371697 (Python Code)

Max Activating Token Index: 347

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Text #6

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Data Index: 1399989 (Python Code)

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Text #7

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Data Index: 1471896 (Python Code)

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Text #8

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Data Index: 1360584 (Python Code)

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Text #9

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Data Index: 1493483 (Python Code)

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Text #10

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Data Index: 1607941 (Python Code)

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Text #11

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Data Index: 1533832 (Python Code)

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Text #12

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Data Index: 1522212 (Python Code)

Max Activating Token Index: 718

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Text #13

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Text #14

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Data Index: 1605848 (Python Code)

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1456007 (Python Code)

Max Activating Token Index: 925

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