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

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

Neuron 3 in Layer 6

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



Text #0

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Max Act: 0.3341. Min Act: -0.0000

Data Index: 147998 (C4 (Web Text))

Max Activating Token Index: 179

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Text #1

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Max Act: 0.2905. Min Act: -0.0000

Data Index: 1186479 (C4 (Web Text))

Max Activating Token Index: 544

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Text #2

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Max Act: 0.2939. Min Act: -0.0000

Data Index: 467566 (C4 (Web Text))

Max Activating Token Index: 604

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Text #3

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Max Act: 0.3255. Min Act: -0.0000

Data Index: 90070 (C4 (Web Text))

Max Activating Token Index: 226

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Text #4

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Max Act: 0.2805. Min Act: -0.0000

Data Index: 1170782 (C4 (Web Text))

Max Activating Token Index: 947

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Text #5

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Data Index: 521849 (C4 (Web Text))

Max Activating Token Index: 19

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Text #6

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Data Index: 913429 (C4 (Web Text))

Max Activating Token Index: 91

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Text #7

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Data Index: 1061033 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 88679 (C4 (Web Text))

Max Activating Token Index: 981

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Text #9

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Data Index: 154566 (C4 (Web Text))

Max Activating Token Index: 318

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Text #10

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Data Index: 955863 (C4 (Web Text))

Max Activating Token Index: 835

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Text #11

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Data Index: 18716 (C4 (Web Text))

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Text #12

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Data Index: 351770 (C4 (Web Text))

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Text #13

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Data Index: 317234 (C4 (Web Text))

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Text #14

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Data Index: 419075 (C4 (Web Text))

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Text #15

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Data Index: 335576 (C4 (Web Text))

Max Activating Token Index: 882

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Text #16

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Data Index: 1463713 (Python Code)

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Text #17

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Data Index: 1008117 (C4 (Web Text))

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Text #18

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Data Index: 1372416 (Python Code)

Max Activating Token Index: 809

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Text #19

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Data Index: 934142 (C4 (Web Text))

Max Activating Token Index: 925

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