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

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

Neuron 969 in Layer 2

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

Text #0

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1263350 (C4 (Web Text))

Max Activating Token Index: 948

Text #1

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Max Act: 0.0180. Min Act: -0.0001

Data Index: 1514706 (Python Code)

Max Activating Token Index: 924

Text #2

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Max Act: 0.0192. Min Act: -0.0001

Data Index: 1579218 (Python Code)

Max Activating Token Index: 1019

Text #3

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Max Act: 0.0185. Min Act: -0.0001

Data Index: 1414969 (Python Code)

Max Activating Token Index: 990

Text #4

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Max Act: 0.0176. Min Act: -0.0001

Data Index: 1384119 (Python Code)

Max Activating Token Index: 402

Text #5

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Data Index: 267547 (C4 (Web Text))

Max Activating Token Index: 682

Text #6

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Max Activating Token Index: 1015

Text #7

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Max Activating Token Index: 837

Text #8

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Data Index: 1504811 (Python Code)

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Text #9

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Data Index: 1598017 (Python Code)

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Text #10

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Max Activating Token Index: 455

Text #11

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Max Activating Token Index: 25

Text #12

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Data Index: 367279 (C4 (Web Text))

Max Activating Token Index: 697

Text #13

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Data Index: 1389331 (Python Code)

Max Activating Token Index: 171

Text #14

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Data Index: 1492202 (Python Code)

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Text #15

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Data Index: 1485501 (Python Code)

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Text #16

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Data Index: 1386937 (Python Code)

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Text #17

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Data Index: 529058 (C4 (Web Text))

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Text #18

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Data Index: 1648850 (Python Code)

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Text #19

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Max Act: 0.0156. Min Act: -0.0001

Data Index: 1521016 (Python Code)

Max Activating Token Index: 774