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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 207 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.1184. Min Act: -0.0003

Data Index: 340206 (C4 (Web Text))

Max Activating Token Index: 975

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Truncated

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Text #1

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Max Act: 0.0985. Min Act: -0.0003

Data Index: 1415326 (Python Code)

Max Activating Token Index: 397

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Truncated

Full Text #1


Text #2

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Max Act: 0.0981. Min Act: -0.0003

Data Index: 502009 (C4 (Web Text))

Max Activating Token Index: 397

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Text #3

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Max Act: 0.0873. Min Act: -0.0003

Data Index: 109362 (C4 (Web Text))

Max Activating Token Index: 575

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Truncated

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Text #4

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Max Act: 0.0951. Min Act: -0.0003

Data Index: 836053 (C4 (Web Text))

Max Activating Token Index: 970

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Truncated

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Text #5

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Max Act: 0.0941. Min Act: -0.0003

Data Index: 1322301 (C4 (Web Text))

Max Activating Token Index: 839

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Text #6

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Data Index: 348231 (C4 (Web Text))

Max Activating Token Index: 662

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Truncated

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Text #7

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Data Index: 675024 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 716710 (C4 (Web Text))

Max Activating Token Index: 190

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Text #9

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Data Index: 429608 (C4 (Web Text))

Max Activating Token Index: 97

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Truncated

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Text #10

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Data Index: 73593 (C4 (Web Text))

Max Activating Token Index: 953

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 1364816 (Python Code)

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Text #13

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Truncated

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Text #14

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Data Index: 473123 (C4 (Web Text))

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Text #15

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Data Index: 819451 (C4 (Web Text))

Max Activating Token Index: 959

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Truncated

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Text #16

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Data Index: 1160231 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0804. Min Act: -0.0003

Data Index: 1335273 (C4 (Web Text))

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Text #18

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Max Act: 0.0825. Min Act: -0.0004

Data Index: 951322 (C4 (Web Text))

Max Activating Token Index: 523

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Truncated

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Text #19

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Data Index: 125507 (C4 (Web Text))

Max Activating Token Index: 226

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