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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4732 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 3.8257. Min Act: -0.0001

Data Index: 879544 (C4 (Web Text))

Max Activating Token Index: 426

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Text #1

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Max Act: 3.2899. Min Act: -0.0001

Data Index: 1587304 (Python Code)

Max Activating Token Index: 855

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Text #2

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Max Act: 3.2415. Min Act: -0.0001

Data Index: 271574 (C4 (Web Text))

Max Activating Token Index: 215

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Text #3

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Max Act: 3.5319. Min Act: -0.0001

Data Index: 67834 (C4 (Web Text))

Max Activating Token Index: 962

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Text #4

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Data Index: 1113088 (C4 (Web Text))

Max Activating Token Index: 119

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Text #5

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Data Index: 1290071 (C4 (Web Text))

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Text #6

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Data Index: 876324 (C4 (Web Text))

Max Activating Token Index: 726

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Text #7

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Data Index: 640677 (C4 (Web Text))

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Text #8

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Data Index: 1277042 (C4 (Web Text))

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Text #9

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Data Index: 707592 (C4 (Web Text))

Max Activating Token Index: 685

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Text #10

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Text #11

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Text #12

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Data Index: 1227270 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 471735 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 42438 (C4 (Web Text))

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Text #18

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Max Act: 2.7853. Min Act: -0.0001

Data Index: 169039 (C4 (Web Text))

Max Activating Token Index: 622

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Text #19

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Data Index: 293906 (C4 (Web Text))

Max Activating Token Index: 948

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