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

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

Neuron 290 in Layer 3

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



Text #0

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Max Act: 1.1589. Min Act: -0.0001

Data Index: 483973 (C4 (Web Text))

Max Activating Token Index: 169

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Text #1

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Max Act: 1.1058. Min Act: -0.0001

Data Index: 1578961 (Python Code)

Max Activating Token Index: 790

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Truncated

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Text #2

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Max Act: 0.9841. Min Act: -0.0001

Data Index: 12264 (C4 (Web Text))

Max Activating Token Index: 417

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Text #3

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Max Act: 1.0265. Min Act: -0.0001

Data Index: 832653 (C4 (Web Text))

Max Activating Token Index: 288

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Truncated

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Text #4

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Max Act: 0.9568. Min Act: -0.0001

Data Index: 93619 (C4 (Web Text))

Max Activating Token Index: 509

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Text #5

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Data Index: 1124933 (C4 (Web Text))

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Text #6

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Data Index: 384349 (C4 (Web Text))

Max Activating Token Index: 637

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Text #7

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Data Index: 372729 (C4 (Web Text))

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Text #8

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Data Index: 522929 (C4 (Web Text))

Max Activating Token Index: 324

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Text #9

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Data Index: 1402708 (Python Code)

Max Activating Token Index: 127

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Text #10

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Data Index: 721684 (C4 (Web Text))

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Text #11

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Data Index: 416663 (C4 (Web Text))

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Text #12

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Data Index: 235378 (C4 (Web Text))

Max Activating Token Index: 313

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Text #13

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Data Index: 43921 (C4 (Web Text))

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Text #14

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Data Index: 784767 (C4 (Web Text))

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Text #15

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Data Index: 461872 (C4 (Web Text))

Max Activating Token Index: 842

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Text #16

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Data Index: 25727 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.8848. Min Act: -0.0001

Data Index: 1231758 (C4 (Web Text))

Max Activating Token Index: 935

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Text #18

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Max Act: 0.8473. Min Act: -0.0001

Data Index: 412434 (C4 (Web Text))

Max Activating Token Index: 786

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Text #19

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Max Act: 0.9024. Min Act: -0.0001

Data Index: 494568 (C4 (Web Text))

Max Activating Token Index: 669

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