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

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

Neuron 1293 in Layer 0

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

Text #0

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Max Act: 0.0062. Min Act: -0.0003

Data Index: 1228152 (C4 (Web Text))

Max Activating Token Index: 561

Text #1

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Max Activating Token Index: 614

Text #2

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Max Act: 0.0060. Min Act: -0.0003

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Max Activating Token Index: 309

Text #3

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Max Act: 0.0059. Min Act: -0.0003

Data Index: 562138 (C4 (Web Text))

Max Activating Token Index: 417

Text #4

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Max Act: 0.0059. Min Act: -0.0003

Data Index: 878485 (C4 (Web Text))

Max Activating Token Index: 460

Text #5

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Max Activating Token Index: 656

Text #6

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Max Activating Token Index: 489

Text #7

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Max Activating Token Index: 691

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 388

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 258

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 502

Text #19

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Max Act: 0.0058. Min Act: -0.0004

Data Index: 974506 (C4 (Web Text))

Max Activating Token Index: 682