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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 66 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0068. Min Act: -0.0005

Data Index: 1553163 (Python Code)

Max Activating Token Index: 811

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Text #1

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Data Index: 350654 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0066. Min Act: -0.0006

Data Index: 650573 (C4 (Web Text))

Max Activating Token Index: 592

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Text #3

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Data Index: 1529891 (Python Code)

Max Activating Token Index: 308

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Text #4

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Data Index: 1555929 (Python Code)

Max Activating Token Index: 481

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Text #5

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Data Index: 1473692 (Python Code)

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Text #6

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Data Index: 1551909 (Python Code)

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Text #7

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Data Index: 1366642 (Python Code)

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Text #8

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Data Index: 921448 (C4 (Web Text))

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Text #9

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Data Index: 1536157 (Python Code)

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Text #10

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Data Index: 1620091 (Python Code)

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 430

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1618848 (Python Code)

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Text #18

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Data Index: 207339 (C4 (Web Text))

Max Activating Token Index: 268

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Text #19

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Data Index: 1378622 (Python Code)

Max Activating Token Index: 547

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