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

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

Neuron 2946 in Layer 6

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



Text #0

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Max Act: 0.8077. Min Act: -0.0000

Data Index: 381873 (C4 (Web Text))

Max Activating Token Index: 729

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Text #1

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Max Act: 0.7004. Min Act: -0.0000

Data Index: 924645 (C4 (Web Text))

Max Activating Token Index: 369

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Text #2

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Max Act: 0.6480. Min Act: -0.0000

Data Index: 1332346 (C4 (Web Text))

Max Activating Token Index: 511

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Text #3

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Max Act: 0.6428. Min Act: -0.0000

Data Index: 1578347 (Python Code)

Max Activating Token Index: 283

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Truncated

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Text #4

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Data Index: 552880 (C4 (Web Text))

Max Activating Token Index: 777

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Text #5

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Data Index: 181776 (C4 (Web Text))

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Text #6

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Data Index: 954076 (C4 (Web Text))

Max Activating Token Index: 618

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Text #7

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Data Index: 53842 (C4 (Web Text))

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Text #8

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Data Index: 346927 (C4 (Web Text))

Max Activating Token Index: 125

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Text #9

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Data Index: 897070 (C4 (Web Text))

Max Activating Token Index: 279

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Text #10

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Data Index: 959750 (C4 (Web Text))

Max Activating Token Index: 837

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Text #11

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Data Index: 782485 (C4 (Web Text))

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Text #12

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Text #13

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Text #14

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Data Index: 1278948 (C4 (Web Text))

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Text #15

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Data Index: 245573 (C4 (Web Text))

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Text #16

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Data Index: 762396 (C4 (Web Text))

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Text #17

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Data Index: 1377488 (Python Code)

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Text #18

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Data Index: 427974 (C4 (Web Text))

Max Activating Token Index: 133

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Text #19

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Data Index: 65034 (C4 (Web Text))

Max Activating Token Index: 486

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