Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 420 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 931974 (C4 (Web Text))

Max Activating Token Index: 1001

Text #1

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Max Activating Token Index: 177

Text #2

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Data Index: 283654 (C4 (Web Text))

Max Activating Token Index: 307

Text #3

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 834708 (C4 (Web Text))

Max Activating Token Index: 706

Text #4

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Data Index: 68691 (C4 (Web Text))

Max Activating Token Index: 617

Text #5

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Max Activating Token Index: 899

Text #6

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Text #7

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Max Activating Token Index: 934

Text #9

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Max Activating Token Index: 808

Text #10

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Max Activating Token Index: 147

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Max Activating Token Index: 383

Text #12

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Max Activating Token Index: 507

Text #13

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Max Activating Token Index: 169

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: 239

Text #18

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Text #19

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Data Index: 419938 (C4 (Web Text))

Max Activating Token Index: 274