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

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

Neuron 128 in Layer 1

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

Text #0

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Max Act: 0.0144. Min Act: -0.0006

Data Index: 541472 (C4 (Web Text))

Max Activating Token Index: 818

Text #1

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Max Activating Token Index: 259

Text #2

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 970622 (C4 (Web Text))

Max Activating Token Index: 899

Text #3

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Max Act: 0.0142. Min Act: -0.0006

Data Index: 1357484 (C4 (Web Text))

Max Activating Token Index: 47

Text #4

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Data Index: 999618 (C4 (Web Text))

Max Activating Token Index: 717

Text #5

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Max Activating Token Index: 395

Text #6

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Max Activating Token Index: 54

Text #7

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Max Activating Token Index: 220

Text #8

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Max Activating Token Index: 726

Text #9

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Max Activating Token Index: 137

Text #10

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Max Activating Token Index: 690

Text #11

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Max Activating Token Index: 64

Text #12

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Max Activating Token Index: 807

Text #13

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Max Activating Token Index: 916

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: 830

Text #18

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Max Activating Token Index: 261

Text #19

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Data Index: 801018 (C4 (Web Text))

Max Activating Token Index: 801