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

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

Neuron 1090 in Layer 1

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

Text #0

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Max Act: 0.0544. Min Act: -0.0003

Data Index: 1156226 (C4 (Web Text))

Max Activating Token Index: 18

Text #1

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Max Act: 0.0487. Min Act: -0.0003

Data Index: 1345855 (C4 (Web Text))

Max Activating Token Index: 14

Text #2

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Max Act: 0.0460. Min Act: -0.0003

Data Index: 1312769 (C4 (Web Text))

Max Activating Token Index: 167

Text #3

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Max Act: 0.0457. Min Act: -0.0003

Data Index: 1005710 (C4 (Web Text))

Max Activating Token Index: 100

Text #4

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Max Act: 0.0437. Min Act: -0.0003

Data Index: 905680 (C4 (Web Text))

Max Activating Token Index: 315

Text #5

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Max Act: 0.0461. Min Act: -0.0003

Data Index: 492509 (C4 (Web Text))

Max Activating Token Index: 281

Text #6

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Max Activating Token Index: 1003

Text #7

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Max Activating Token Index: 404

Text #8

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Data Index: 74397 (C4 (Web Text))

Max Activating Token Index: 34

Text #9

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Data Index: 256383 (C4 (Web Text))

Max Activating Token Index: 400

Text #10

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Max Activating Token Index: 327

Text #11

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Max Activating Token Index: 263

Text #12

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Data Index: 507991 (C4 (Web Text))

Max Activating Token Index: 278

Text #13

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Data Index: 441500 (C4 (Web Text))

Max Activating Token Index: 255

Text #14

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Max Activating Token Index: 889

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 304

Text #18

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Max Activating Token Index: 295

Text #19

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Data Index: 618264 (C4 (Web Text))

Max Activating Token Index: 533