Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 255 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0558. Min Act: -0.0003

Data Index: 850407 (C4 (Web Text))

Max Activating Token Index: 363

Text #1

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Max Act: 0.0502. Min Act: -0.0003

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Max Activating Token Index: 274

Text #2

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Max Act: 0.0485. Min Act: -0.0003

Data Index: 990213 (C4 (Web Text))

Max Activating Token Index: 72

Text #3

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Max Act: 0.0524. Min Act: -0.0003

Data Index: 423671 (C4 (Web Text))

Max Activating Token Index: 51

Text #4

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Max Activating Token Index: 791

Text #5

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Max Activating Token Index: 295

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 547

Text #9

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Max Activating Token Index: 316

Text #10

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Max Activating Token Index: 252

Text #12

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Max Activating Token Index: 247

Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 806455 (C4 (Web Text))

Max Activating Token Index: 320