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

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

Neuron 1241 in Layer 1

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

Text #0

Max Range: 0.0336. Min Range: -0.0336

Max Act: 0.0336. Min Act: -0.0004

Data Index: 1397916 (Python Code)

Max Activating Token Index: 752

Text #1

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Max Act: 0.0310. Min Act: -0.0003

Data Index: 1357174 (C4 (Web Text))

Max Activating Token Index: 734

Text #2

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Max Act: 0.0323. Min Act: -0.0003

Data Index: 1369978 (Python Code)

Max Activating Token Index: 605

Text #3

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Max Act: 0.0296. Min Act: -0.0004

Data Index: 1568849 (Python Code)

Max Activating Token Index: 837

Text #4

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Max Act: 0.0277. Min Act: -0.0003

Data Index: 1305701 (C4 (Web Text))

Max Activating Token Index: 194

Text #5

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Max Act: 0.0292. Min Act: -0.0003

Data Index: 682528 (C4 (Web Text))

Max Activating Token Index: 889

Text #6

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Data Index: 377227 (C4 (Web Text))

Max Activating Token Index: 260

Text #7

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Data Index: 491948 (C4 (Web Text))

Max Activating Token Index: 453

Text #8

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Data Index: 1031189 (C4 (Web Text))

Max Activating Token Index: 247

Text #9

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Data Index: 1468599 (Python Code)

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Text #10

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Max Act: 0.0275. Min Act: -0.0003

Data Index: 422163 (C4 (Web Text))

Max Activating Token Index: 830

Text #11

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Data Index: 647623 (C4 (Web Text))

Max Activating Token Index: 810

Text #12

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Data Index: 1361634 (Python Code)

Max Activating Token Index: 224

Text #13

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Data Index: 792984 (C4 (Web Text))

Max Activating Token Index: 501

Text #14

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Data Index: 58647 (C4 (Web Text))

Max Activating Token Index: 997

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 860

Text #18

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Data Index: 1639360 (Python Code)

Max Activating Token Index: 297

Text #19

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1355843 (C4 (Web Text))

Max Activating Token Index: 409