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

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

Neuron 410 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.1409. Min Act: -0.0001

Data Index: 1558573 (Python Code)

Max Activating Token Index: 757

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Text #1

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Data Index: 1481018 (Python Code)

Max Activating Token Index: 48

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Text #2

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Max Act: 0.1382. Min Act: -0.0001

Data Index: 1491761 (Python Code)

Max Activating Token Index: 163

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Text #3

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Data Index: 1373557 (Python Code)

Max Activating Token Index: 200

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Text #4

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Data Index: 1163670 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #5

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Data Index: 1361498 (Python Code)

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Text #6

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Data Index: 1455968 (Python Code)

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Text #7

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Data Index: 597890 (C4 (Web Text))

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Text #8

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Data Index: 1393826 (Python Code)

Max Activating Token Index: 711

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Text #9

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Data Index: 1558968 (Python Code)

Max Activating Token Index: 32

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Text #10

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Text #11

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Data Index: 114500 (C4 (Web Text))

Max Activating Token Index: 575

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Text #12

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Data Index: 1624807 (Python Code)

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Text #13

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Data Index: 1521844 (Python Code)

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Text #14

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Data Index: 933712 (C4 (Web Text))

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Text #15

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Data Index: 522046 (C4 (Web Text))

Max Activating Token Index: 344

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Text #16

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Data Index: 1478974 (Python Code)

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Text #17

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Data Index: 1389622 (Python Code)

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Text #18

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Data Index: 1539861 (Python Code)

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Text #19

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Data Index: 1398386 (Python Code)

Max Activating Token Index: 761

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