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

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

Neuron 2668 in Layer 2

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



Text #0

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Max Act: 0.1292. Min Act: -0.0003

Data Index: 699293 (C4 (Web Text))

Max Activating Token Index: 250

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Text #1

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Data Index: 1629040 (Python Code)

Max Activating Token Index: 313

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Truncated

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Text #2

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Max Act: 0.1210. Min Act: -0.0003

Data Index: 263075 (C4 (Web Text))

Max Activating Token Index: 176

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Text #3

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Data Index: 636204 (C4 (Web Text))

Max Activating Token Index: 70

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Text #4

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Max Act: 0.1221. Min Act: -0.0003

Data Index: 154005 (C4 (Web Text))

Max Activating Token Index: 615

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Text #5

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Data Index: 1158607 (C4 (Web Text))

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Text #6

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Data Index: 115791 (C4 (Web Text))

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Text #7

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Data Index: 193454 (C4 (Web Text))

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Text #8

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Data Index: 1643054 (Python Code)

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Text #9

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Data Index: 531350 (C4 (Web Text))

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Text #10

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Data Index: 595018 (C4 (Web Text))

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Text #11

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Data Index: 1138123 (C4 (Web Text))

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Text #12

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Data Index: 710383 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Text #16

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Truncated

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Text #17

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Data Index: 975362 (C4 (Web Text))

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Text #18

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Data Index: 892386 (C4 (Web Text))

Max Activating Token Index: 735

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Text #19

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Data Index: 70036 (C4 (Web Text))

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