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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4790 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 1341016 (C4 (Web Text))

Max Activating Token Index: 771

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Text #1

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Data Index: 1377077 (Python Code)

Max Activating Token Index: 405

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Text #2

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Max Act: 0.0114. Min Act: -0.0002

Data Index: 323944 (C4 (Web Text))

Max Activating Token Index: 400

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Text #3

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Data Index: 601776 (C4 (Web Text))

Max Activating Token Index: 682

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Text #4

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Data Index: 269289 (C4 (Web Text))

Max Activating Token Index: 265

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Text #5

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Data Index: 15488 (C4 (Web Text))

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Text #6

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Data Index: 15649 (C4 (Web Text))

Max Activating Token Index: 438

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Text #7

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Data Index: 630434 (C4 (Web Text))

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Text #8

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Data Index: 428489 (C4 (Web Text))

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Text #9

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Data Index: 438045 (C4 (Web Text))

Max Activating Token Index: 796

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Text #10

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Text #11

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Data Index: 1647838 (Python Code)

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Text #12

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Data Index: 325739 (C4 (Web Text))

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Text #13

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Data Index: 138455 (C4 (Web Text))

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Text #14

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Data Index: 550613 (C4 (Web Text))

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Text #15

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Data Index: 51565 (C4 (Web Text))

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Text #16

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Text #17

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Max Act: 0.0100. Min Act: -0.0002

Data Index: 305392 (C4 (Web Text))

Max Activating Token Index: 793

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Text #18

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Data Index: 864002 (C4 (Web Text))

Max Activating Token Index: 263

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Text #19

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Data Index: 703046 (C4 (Web Text))

Max Activating Token Index: 339

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