Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 948 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0235. Min Act: -0.0004

Data Index: 832274 (C4 (Web Text))

Max Activating Token Index: 32

Text #1

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Max Activating Token Index: 24

Text #2

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Data Index: 1331433 (C4 (Web Text))

Max Activating Token Index: 487

Text #3

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Data Index: 461829 (C4 (Web Text))

Max Activating Token Index: 919

Text #4

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Max Act: 0.0195. Min Act: -0.0004

Data Index: 281996 (C4 (Web Text))

Max Activating Token Index: 717

Text #5

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Data Index: 865081 (C4 (Web Text))

Max Activating Token Index: 108

Text #6

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Max Activating Token Index: 932

Text #7

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Text #8

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Max Activating Token Index: 372

Text #9

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Data Index: 1204097 (C4 (Web Text))

Max Activating Token Index: 315

Text #10

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Data Index: 132040 (C4 (Web Text))

Max Activating Token Index: 72

Text #11

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Max Activating Token Index: 966

Text #12

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Max Activating Token Index: 884

Text #13

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Max Activating Token Index: 59

Text #14

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Max Activating Token Index: 777

Text #15

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Max Activating Token Index: 502

Text #16

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Text #17

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Max Activating Token Index: 290

Text #18

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Max Activating Token Index: 858

Text #19

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Data Index: 936632 (C4 (Web Text))

Max Activating Token Index: 98