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

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

Neuron 1589 in Layer 6

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



Text #0

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Max Act: 0.9875. Min Act: -0.0000

Data Index: 962117 (C4 (Web Text))

Max Activating Token Index: 318

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Text #1

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Max Act: 0.9873. Min Act: -0.0000

Data Index: 881168 (C4 (Web Text))

Max Activating Token Index: 537

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Text #2

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Max Act: 0.9579. Min Act: -0.0000

Data Index: 819099 (C4 (Web Text))

Max Activating Token Index: 746

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Text #3

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Max Act: 0.9228. Min Act: -0.0000

Data Index: 1008251 (C4 (Web Text))

Max Activating Token Index: 758

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Text #4

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Data Index: 521852 (C4 (Web Text))

Max Activating Token Index: 301

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Text #5

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Max Act: 0.8916. Min Act: -0.0000

Data Index: 1438014 (Python Code)

Max Activating Token Index: 281

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Text #6

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Data Index: 1176370 (C4 (Web Text))

Max Activating Token Index: 154

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Text #7

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Data Index: 1315368 (C4 (Web Text))

Max Activating Token Index: 381

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Truncated

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Text #8

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Data Index: 1071823 (C4 (Web Text))

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Text #9

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Data Index: 953549 (C4 (Web Text))

Max Activating Token Index: 570

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Text #10

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Data Index: 8517 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1576491 (Python Code)

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Text #13

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Text #14

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Data Index: 171197 (C4 (Web Text))

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Text #15

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Data Index: 367402 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 131996 (C4 (Web Text))

Max Activating Token Index: 504

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Text #18

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Data Index: 585263 (C4 (Web Text))

Max Activating Token Index: 367

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Text #19

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Data Index: 1132666 (C4 (Web Text))

Max Activating Token Index: 355

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