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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 588 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1053. Min Act: -0.0001

Data Index: 473753 (C4 (Web Text))

Max Activating Token Index: 84

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Text #1

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Max Act: 0.1011. Min Act: -0.0001

Data Index: 216244 (C4 (Web Text))

Max Activating Token Index: 297

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Truncated

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Text #2

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Max Act: 0.1053. Min Act: -0.0001

Data Index: 1063416 (C4 (Web Text))

Max Activating Token Index: 236

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Text #3

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Max Act: 0.1018. Min Act: -0.0001

Data Index: 1031462 (C4 (Web Text))

Max Activating Token Index: 40

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Truncated

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Text #4

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Max Act: 0.0929. Min Act: -0.0001

Data Index: 98881 (C4 (Web Text))

Max Activating Token Index: 366

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Truncated

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Text #5

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Data Index: 107241 (C4 (Web Text))

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Text #6

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Data Index: 440931 (C4 (Web Text))

Max Activating Token Index: 647

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Text #7

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Data Index: 878375 (C4 (Web Text))

Max Activating Token Index: 74

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Truncated

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Text #8

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Data Index: 951336 (C4 (Web Text))

Max Activating Token Index: 170

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Text #9

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Data Index: 485393 (C4 (Web Text))

Max Activating Token Index: 346

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Truncated

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Text #10

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Data Index: 602221 (C4 (Web Text))

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Text #11

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Data Index: 365636 (C4 (Web Text))

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Text #12

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Data Index: 1618626 (Python Code)

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Text #13

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Text #14

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Data Index: 653837 (C4 (Web Text))

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Text #15

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Data Index: 929616 (C4 (Web Text))

Max Activating Token Index: 985

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Text #16

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Data Index: 1106016 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 1557598 (Python Code)

Max Activating Token Index: 279

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Text #18

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Max Act: 0.0915. Min Act: -0.0001

Data Index: 452373 (C4 (Web Text))

Max Activating Token Index: 283

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Truncated

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Text #19

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Max Act: 0.0945. Min Act: -0.0001

Data Index: 995010 (C4 (Web Text))

Max Activating Token Index: 388

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