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

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

Neuron 1212 in Layer 0

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



Text #0

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Max Act: 0.0151. Min Act: -0.0004

Data Index: 1404887 (Python Code)

Max Activating Token Index: 344

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Text #1

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Max Act: 0.0147. Min Act: -0.0004

Data Index: 1635191 (Python Code)

Max Activating Token Index: 487

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Text #2

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 1403829 (Python Code)

Max Activating Token Index: 223

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Text #3

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Max Act: 0.0145. Min Act: -0.0004

Data Index: 1460116 (Python Code)

Max Activating Token Index: 214

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Text #4

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Max Act: 0.0142. Min Act: -0.0004

Data Index: 1643784 (Python Code)

Max Activating Token Index: 868

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Text #5

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Data Index: 1431448 (Python Code)

Max Activating Token Index: 249

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Text #6

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Data Index: 1629562 (Python Code)

Max Activating Token Index: 44

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Text #7

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Data Index: 1579741 (Python Code)

Max Activating Token Index: 481

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Text #8

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Data Index: 1519691 (Python Code)

Max Activating Token Index: 506

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Text #9

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Data Index: 1516814 (Python Code)

Max Activating Token Index: 100

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Text #10

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Data Index: 1544616 (Python Code)

Max Activating Token Index: 333

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Text #11

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Data Index: 1533610 (Python Code)

Max Activating Token Index: 215

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Text #12

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Data Index: 958922 (C4 (Web Text))

Max Activating Token Index: 273

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Text #13

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Data Index: 329764 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #14

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Data Index: 1641774 (Python Code)

Max Activating Token Index: 804

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Text #15

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Data Index: 999150 (C4 (Web Text))

Max Activating Token Index: 415

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Text #16

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Data Index: 345575 (C4 (Web Text))

Max Activating Token Index: 62

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Text #17

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Max Act: 0.0130. Min Act: -0.0004

Data Index: 410127 (C4 (Web Text))

Max Activating Token Index: 516

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Text #18

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Max Act: 0.0133. Min Act: -0.0004

Data Index: 1536111 (Python Code)

Max Activating Token Index: 381

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Text #19

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 1388966 (Python Code)

Max Activating Token Index: 735

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