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

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

Neuron 6054 in Layer 2

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



Text #0

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Max Act: 0.0114. Min Act: -0.0002

Data Index: 1465028 (Python Code)

Max Activating Token Index: 667

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Text #1

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Data Index: 336030 (C4 (Web Text))

Max Activating Token Index: 433

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Text #2

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Max Act: 0.0092. Min Act: -0.0002

Data Index: 1160313 (C4 (Web Text))

Max Activating Token Index: 100

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Text #3

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 567454 (C4 (Web Text))

Max Activating Token Index: 109

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Text #4

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 320287 (C4 (Web Text))

Max Activating Token Index: 885

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Text #5

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Data Index: 655315 (C4 (Web Text))

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Text #6

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Data Index: 721743 (C4 (Web Text))

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Text #7

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Data Index: 739960 (C4 (Web Text))

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Text #8

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Data Index: 1209632 (C4 (Web Text))

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Text #9

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Data Index: 520461 (C4 (Web Text))

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Text #10

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Data Index: 177516 (C4 (Web Text))

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Text #11

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Data Index: 46477 (C4 (Web Text))

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Text #12

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Data Index: 1623431 (Python Code)

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Text #13

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Data Index: 803545 (C4 (Web Text))

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Text #14

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Data Index: 1150663 (C4 (Web Text))

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Text #15

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Data Index: 1519552 (Python Code)

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Text #16

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Text #17

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Data Index: 853843 (C4 (Web Text))

Max Activating Token Index: 364

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Text #18

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Data Index: 174206 (C4 (Web Text))

Max Activating Token Index: 897

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Truncated

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Text #19

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Data Index: 1000303 (C4 (Web Text))

Max Activating Token Index: 502

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