Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 30 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 422502 (C4 (Web Text))

Max Activating Token Index: 166

Text #1

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Data Index: 1126220 (C4 (Web Text))

Max Activating Token Index: 724

Text #2

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Max Activating Token Index: 683

Text #3

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 624898 (C4 (Web Text))

Max Activating Token Index: 842

Text #4

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Data Index: 750094 (C4 (Web Text))

Max Activating Token Index: 400

Text #5

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Data Index: 1358090 (C4 (Web Text))

Max Activating Token Index: 504

Text #6

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Max Activating Token Index: 374

Text #7

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Text #8

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Max Activating Token Index: 442

Text #9

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Max Activating Token Index: 623

Text #10

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Data Index: 226931 (C4 (Web Text))

Max Activating Token Index: 159

Text #11

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Max Activating Token Index: 605

Text #12

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Max Activating Token Index: 591

Text #13

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Max Activating Token Index: 318

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: 630

Text #18

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Text #19

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Data Index: 1332431 (C4 (Web Text))

Max Activating Token Index: 576