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

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

Neuron 685 in Layer 6

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



Text #0

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Max Act: 0.4924. Min Act: -0.0001

Data Index: 56154 (C4 (Web Text))

Max Activating Token Index: 860

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Text #1

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Max Act: 0.4432. Min Act: -0.0000

Data Index: 1412594 (Python Code)

Max Activating Token Index: 288

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Text #2

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Max Act: 0.4743. Min Act: -0.0001

Data Index: 1262956 (C4 (Web Text))

Max Activating Token Index: 980

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Text #3

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Data Index: 909781 (C4 (Web Text))

Max Activating Token Index: 866

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Text #4

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Data Index: 186129 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #5

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Data Index: 427127 (C4 (Web Text))

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Text #6

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Data Index: 596613 (C4 (Web Text))

Max Activating Token Index: 870

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Text #7

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Data Index: 1185788 (C4 (Web Text))

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Text #8

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Data Index: 169192 (C4 (Web Text))

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Text #9

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Data Index: 1595365 (Python Code)

Max Activating Token Index: 952

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Text #10

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Data Index: 1103360 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1111026 (C4 (Web Text))

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Text #13

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Data Index: 118339 (C4 (Web Text))

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Text #14

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Data Index: 626425 (C4 (Web Text))

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Text #15

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Data Index: 309830 (C4 (Web Text))

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Text #16

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Data Index: 563227 (C4 (Web Text))

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Text #17

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Max Act: 0.3835. Min Act: -0.0000

Data Index: 41866 (C4 (Web Text))

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Text #18

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Max Act: 0.3520. Min Act: -0.0001

Data Index: 233954 (C4 (Web Text))

Max Activating Token Index: 896

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Text #19

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Data Index: 274616 (C4 (Web Text))

Max Activating Token Index: 832

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