Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 271 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0133. Min Act: -0.0004

Data Index: 1410298 (Python Code)

Max Activating Token Index: 25

Text #1

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Max Act: 0.0111. Min Act: -0.0004

Data Index: 1442915 (Python Code)

Max Activating Token Index: 338

Text #2

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Max Act: 0.0119. Min Act: -0.0004

Data Index: 19066 (C4 (Web Text))

Max Activating Token Index: 668

Text #3

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 1123378 (C4 (Web Text))

Max Activating Token Index: 89

Text #4

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1648421 (Python Code)

Max Activating Token Index: 592

Text #5

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Max Act: 0.0107. Min Act: -0.0004

Data Index: 353989 (C4 (Web Text))

Max Activating Token Index: 301

Text #6

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Data Index: 1549528 (Python Code)

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Text #7

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Data Index: 1453454 (Python Code)

Max Activating Token Index: 138

Text #8

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Data Index: 1652339 (Python Code)

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Text #9

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Data Index: 1431300 (Python Code)

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Text #10

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Data Index: 1567137 (Python Code)

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Text #11

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Data Index: 832304 (C4 (Web Text))

Max Activating Token Index: 124

Text #12

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Data Index: 1544404 (Python Code)

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Text #13

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Data Index: 1391028 (Python Code)

Max Activating Token Index: 238

Text #14

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Data Index: 1645507 (Python Code)

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Text #15

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Text #16

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Data Index: 1504908 (Python Code)

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Text #17

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Data Index: 818299 (C4 (Web Text))

Max Activating Token Index: 867

Text #18

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Data Index: 161923 (C4 (Web Text))

Max Activating Token Index: 25

Text #19

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Data Index: 288787 (C4 (Web Text))

Max Activating Token Index: 794