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

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

Neuron 4272 in Layer 7

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



Text #0

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Max Act: 0.2062. Min Act: -0.0000

Data Index: 296307 (C4 (Web Text))

Max Activating Token Index: 420

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Text #1

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Data Index: 61226 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.1519. Min Act: -0.0000

Data Index: 227820 (C4 (Web Text))

Max Activating Token Index: 481

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Text #3

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Max Act: 0.1333. Min Act: -0.0000

Data Index: 1018838 (C4 (Web Text))

Max Activating Token Index: 387

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Truncated

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Text #4

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Data Index: 1114095 (C4 (Web Text))

Max Activating Token Index: 94

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Text #5

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Data Index: 5137 (C4 (Web Text))

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Text #6

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Data Index: 47538 (C4 (Web Text))

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Text #7

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Data Index: 536324 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1411246 (Python Code)

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Text #9

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Data Index: 285911 (C4 (Web Text))

Max Activating Token Index: 462

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Text #10

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Data Index: 512224 (C4 (Web Text))

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Text #11

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Data Index: 977436 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 680054 (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: 355947 (C4 (Web Text))

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Text #16

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Data Index: 1008213 (C4 (Web Text))

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Text #17

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Data Index: 810603 (C4 (Web Text))

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Text #18

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Data Index: 644298 (C4 (Web Text))

Max Activating Token Index: 948

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Truncated

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Text #19

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Data Index: 1578028 (Python Code)

Max Activating Token Index: 960

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