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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 847 in Layer 1

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-12l')

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Text #0

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 697298 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 587692 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #2

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 822265 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #3

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 945377 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #4

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Max Act: 0.0183. Min Act: -0.0002

Data Index: 1072077 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #5

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Max Act: 0.0173. Min Act: -0.0002

Data Index: 343969 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #6

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Data Index: 264104 (C4 (Web Text))

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Text #7

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Data Index: 429204 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #8

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 1036437 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #9

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Data Index: 1576435 (Python Code)

Max Activating Token Index: 1008

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Text #10

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Data Index: 1202401 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #11

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Data Index: 1392356 (Python Code)

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Text #12

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Data Index: 779022 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #13

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Data Index: 1649355 (Python Code)

Max Activating Token Index: 1023

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Text #14

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Data Index: 739667 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #15

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Max Act: 0.0155. Min Act: -0.0002

Data Index: 408704 (C4 (Web Text))

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Text #16

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Data Index: 790674 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #17

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Data Index: 1231662 (C4 (Web Text))

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Text #18

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Max Act: 0.0147. Min Act: -0.0002

Data Index: 357144 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 245234 (C4 (Web Text))

Max Activating Token Index: 1001

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