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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3065 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.1414. Min Act: -0.0001

Data Index: 209901 (C4 (Web Text))

Max Activating Token Index: 533

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Text #1

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Max Act: 0.1340. Min Act: -0.0001

Data Index: 708151 (C4 (Web Text))

Max Activating Token Index: 978

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Truncated

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Text #2

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Max Act: 0.1348. Min Act: -0.0001

Data Index: 761867 (C4 (Web Text))

Max Activating Token Index: 687

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Text #3

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Max Act: 0.1198. Min Act: -0.0001

Data Index: 896636 (C4 (Web Text))

Max Activating Token Index: 879

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Truncated

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Text #4

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Max Act: 0.1145. Min Act: -0.0001

Data Index: 1048345 (C4 (Web Text))

Max Activating Token Index: 686

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Text #5

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Max Act: 0.1107. Min Act: -0.0001

Data Index: 1568521 (Python Code)

Max Activating Token Index: 42

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Text #6

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Data Index: 1079659 (C4 (Web Text))

Max Activating Token Index: 683

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Truncated

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Text #7

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Data Index: 1300260 (C4 (Web Text))

Max Activating Token Index: 927

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Text #8

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Data Index: 430136 (C4 (Web Text))

Max Activating Token Index: 900

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Text #9

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Data Index: 968316 (C4 (Web Text))

Max Activating Token Index: 680

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Text #10

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Data Index: 577203 (C4 (Web Text))

Max Activating Token Index: 461

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Text #11

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Data Index: 216092 (C4 (Web Text))

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Text #12

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Data Index: 1013812 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #13

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Data Index: 253505 (C4 (Web Text))

Max Activating Token Index: 462

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Text #14

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Data Index: 1590201 (Python Code)

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Text #15

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Data Index: 742622 (C4 (Web Text))

Max Activating Token Index: 965

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Text #16

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Data Index: 1533659 (Python Code)

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Text #17

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Max Act: 0.1102. Min Act: -0.0001

Data Index: 253758 (C4 (Web Text))

Max Activating Token Index: 760

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Text #18

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Data Index: 1378032 (Python Code)

Max Activating Token Index: 137

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Text #19

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Max Act: 0.1060. Min Act: -0.0001

Data Index: 240959 (C4 (Web Text))

Max Activating Token Index: 138

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