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

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

Neuron 2 in Layer 1

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

Text #0

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Max Act: 0.0459. Min Act: -0.0003

Data Index: 105083 (C4 (Web Text))

Max Activating Token Index: 283

Text #1

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Data Index: 66192 (C4 (Web Text))

Max Activating Token Index: 214

Text #2

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Max Act: 0.0364. Min Act: -0.0003

Data Index: 344780 (C4 (Web Text))

Max Activating Token Index: 410

Text #3

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 144911 (C4 (Web Text))

Max Activating Token Index: 189

Text #4

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Max Activating Token Index: 962

Text #5

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Max Activating Token Index: 105

Text #6

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Text #7

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Max Activating Token Index: 529

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 585

Text #11

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Text #12

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Max Activating Token Index: 938

Text #13

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Max Activating Token Index: 39

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 419

Text #18

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Text #19

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Data Index: 980129 (C4 (Web Text))

Max Activating Token Index: 276