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

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

Neuron 16 in Layer 2

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



Text #0

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Max Act: 0.2069. Min Act: -0.0002

Data Index: 1260104 (C4 (Web Text))

Max Activating Token Index: 961

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Text #1

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Max Act: 0.1886. Min Act: -0.0002

Data Index: 648585 (C4 (Web Text))

Max Activating Token Index: 48

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Truncated

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Text #2

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Max Act: 0.1622. Min Act: -0.0002

Data Index: 238348 (C4 (Web Text))

Max Activating Token Index: 80

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Text #3

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Data Index: 822289 (C4 (Web Text))

Max Activating Token Index: 774

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Truncated

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Text #4

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Data Index: 9011 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #5

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Text #6

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 42447 (C4 (Web Text))

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Text #9

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Data Index: 410317 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #10

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Text #11

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Text #12

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Data Index: 819 (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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Text #16

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Text #17

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Data Index: 1352563 (C4 (Web Text))

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Text #18

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Data Index: 1133474 (C4 (Web Text))

Max Activating Token Index: 980

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Text #19

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Data Index: 532335 (C4 (Web Text))

Max Activating Token Index: 509

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