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

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

Neuron 1056 in Layer 1

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

Text #0

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Max Act: 0.0308. Min Act: -0.0006

Data Index: 471391 (C4 (Web Text))

Max Activating Token Index: 502

Text #1

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Max Act: 0.0295. Min Act: -0.0006

Data Index: 137474 (C4 (Web Text))

Max Activating Token Index: 435

Text #2

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Max Act: 0.0292. Min Act: -0.0006

Data Index: 1341305 (C4 (Web Text))

Max Activating Token Index: 911

Text #3

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Max Act: 0.0291. Min Act: -0.0006

Data Index: 332600 (C4 (Web Text))

Max Activating Token Index: 922

Text #4

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Data Index: 730999 (C4 (Web Text))

Max Activating Token Index: 476

Text #5

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Max Act: 0.0288. Min Act: -0.0006

Data Index: 304355 (C4 (Web Text))

Max Activating Token Index: 673

Text #6

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Max Activating Token Index: 339

Text #7

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Text #8

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Max Activating Token Index: 487

Text #9

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Data Index: 184873 (C4 (Web Text))

Max Activating Token Index: 976

Text #10

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Max Activating Token Index: 380

Text #11

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Max Activating Token Index: 58

Text #12

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Max Activating Token Index: 400

Text #13

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Data Index: 922638 (C4 (Web Text))

Max Activating Token Index: 316

Text #14

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Data Index: 246160 (C4 (Web Text))

Max Activating Token Index: 476

Text #15

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Text #16

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Max Activating Token Index: 1014

Text #17

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Max Activating Token Index: 280

Text #18

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Max Activating Token Index: 260

Text #19

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Data Index: 822053 (C4 (Web Text))

Max Activating Token Index: 583