Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 854 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 1603660 (Python Code)

Max Activating Token Index: 916

Text #1

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Data Index: 1569520 (Python Code)

Max Activating Token Index: 1010

Text #2

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Data Index: 1613279 (Python Code)

Max Activating Token Index: 988

Text #3

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Max Act: 0.0064. Min Act: -0.0005

Data Index: 1535656 (Python Code)

Max Activating Token Index: 902

Text #4

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Max Act: 0.0066. Min Act: -0.0006

Data Index: 1577030 (Python Code)

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Text #5

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Data Index: 1598875 (Python Code)

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Text #6

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Data Index: 1371961 (Python Code)

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Text #7

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Data Index: 1612239 (Python Code)

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Text #8

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Data Index: 1531306 (Python Code)

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Text #9

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Data Index: 1578753 (Python Code)

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Text #10

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Data Index: 1523778 (Python Code)

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Text #11

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Data Index: 1650812 (Python Code)

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Text #12

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Data Index: 1471250 (Python Code)

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Text #13

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Data Index: 1393574 (Python Code)

Max Activating Token Index: 1015

Text #14

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Data Index: 1617411 (Python Code)

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Text #15

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Data Index: 1391276 (Python Code)

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Text #16

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Data Index: 1441758 (Python Code)

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Text #17

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Data Index: 1600113 (Python Code)

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Text #18

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Data Index: 1411843 (Python Code)

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Text #19

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Data Index: 1487947 (Python Code)

Max Activating Token Index: 976