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

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

Neuron 2397 in Layer 7

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



Text #0

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Max Act: 0.2260. Min Act: -0.0000

Data Index: 604474 (C4 (Web Text))

Max Activating Token Index: 365

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Text #1

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Data Index: 143457 (C4 (Web Text))

Max Activating Token Index: 43

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Text #2

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Max Act: 0.2051. Min Act: -0.0000

Data Index: 301329 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #3

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Data Index: 582492 (C4 (Web Text))

Max Activating Token Index: 60

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Truncated

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Text #4

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Data Index: 928395 (C4 (Web Text))

Max Activating Token Index: 691

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Truncated

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Text #5

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Data Index: 413225 (C4 (Web Text))

Max Activating Token Index: 462

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Text #6

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Data Index: 1067769 (C4 (Web Text))

Max Activating Token Index: 686

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Truncated

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Text #7

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Data Index: 856547 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 93975 (C4 (Web Text))

Max Activating Token Index: 714

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Text #9

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Data Index: 527998 (C4 (Web Text))

Max Activating Token Index: 989

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Text #10

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Data Index: 834981 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1490790 (Python Code)

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Text #13

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Data Index: 1367295 (Python Code)

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Text #14

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Data Index: 627192 (C4 (Web Text))

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Text #15

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Data Index: 134815 (C4 (Web Text))

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Text #16

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Data Index: 1036170 (C4 (Web Text))

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Text #17

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Data Index: 398733 (C4 (Web Text))

Max Activating Token Index: 787

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Text #18

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Data Index: 695384 (C4 (Web Text))

Max Activating Token Index: 448

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Text #19

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Data Index: 1490650 (Python Code)

Max Activating Token Index: 487

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