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

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

Neuron 2621 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0186. Min Act: -0.0003

Data Index: 829338 (C4 (Web Text))

Max Activating Token Index: 798

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Text #1

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Max Act: 0.0174. Min Act: -0.0003

Data Index: 655206 (C4 (Web Text))

Max Activating Token Index: 1005

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Truncated

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Text #2

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Max Act: 0.0159. Min Act: -0.0003

Data Index: 1067406 (C4 (Web Text))

Max Activating Token Index: 873

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Text #3

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Max Act: 0.0169. Min Act: -0.0003

Data Index: 1159157 (C4 (Web Text))

Max Activating Token Index: 644

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Truncated

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Text #4

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Data Index: 113141 (C4 (Web Text))

Max Activating Token Index: 199

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Text #5

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Data Index: 939847 (C4 (Web Text))

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Text #6

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Data Index: 147546 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1553833 (Python Code)

Max Activating Token Index: 896

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Text #9

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Data Index: 1087984 (C4 (Web Text))

Max Activating Token Index: 584

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Text #10

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Data Index: 883162 (C4 (Web Text))

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Text #11

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Data Index: 1453411 (Python Code)

Max Activating Token Index: 785

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Text #12

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Data Index: 189415 (C4 (Web Text))

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Text #13

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Data Index: 606895 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 202129 (C4 (Web Text))

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Text #16

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Data Index: 436436 (C4 (Web Text))

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Text #17

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Data Index: 49538 (C4 (Web Text))

Max Activating Token Index: 202

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Text #18

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Data Index: 476386 (C4 (Web Text))

Max Activating Token Index: 128

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Text #19

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Data Index: 586426 (C4 (Web Text))

Max Activating Token Index: 661

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