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

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

Neuron 699 in Layer 1

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



Text #0

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Max Act: 0.0179. Min Act: -0.0006

Data Index: 1589049 (Python Code)

Max Activating Token Index: 675

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Text #1

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Max Act: 0.0179. Min Act: -0.0006

Data Index: 1450189 (Python Code)

Max Activating Token Index: 154

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Text #2

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 753309 (C4 (Web Text))

Max Activating Token Index: 358

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Text #3

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 1651501 (Python Code)

Max Activating Token Index: 898

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Text #4

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Data Index: 1559702 (Python Code)

Max Activating Token Index: 234

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Text #5

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Data Index: 454506 (C4 (Web Text))

Max Activating Token Index: 574

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Text #6

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Data Index: 1514205 (Python Code)

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Text #7

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Data Index: 1592416 (Python Code)

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Text #8

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Data Index: 1528963 (Python Code)

Max Activating Token Index: 205

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Text #9

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Data Index: 1501964 (Python Code)

Max Activating Token Index: 124

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Text #10

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Data Index: 369286 (C4 (Web Text))

Max Activating Token Index: 681

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Text #11

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Data Index: 1110634 (C4 (Web Text))

Max Activating Token Index: 408

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Text #12

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Data Index: 1423128 (Python Code)

Max Activating Token Index: 241

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Text #13

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Data Index: 1395097 (Python Code)

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Text #14

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Data Index: 837222 (C4 (Web Text))

Max Activating Token Index: 231

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Text #15

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Data Index: 1605864 (Python Code)

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Text #16

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Data Index: 1463688 (Python Code)

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Text #17

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Data Index: 1520662 (Python Code)

Max Activating Token Index: 462

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Text #18

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Data Index: 1453227 (Python Code)

Max Activating Token Index: 590

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Text #19

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Data Index: 1552798 (Python Code)

Max Activating Token Index: 933

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