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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1470 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0554. Min Act: -0.0003

Data Index: 1633299 (Python Code)

Max Activating Token Index: 965

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Text #1

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Max Act: 0.0552. Min Act: -0.0004

Data Index: 250204 (C4 (Web Text))

Max Activating Token Index: 98

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Truncated

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Text #2

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Max Act: 0.0539. Min Act: -0.0003

Data Index: 241613 (C4 (Web Text))

Max Activating Token Index: 810

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Text #3

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Max Act: 0.0507. Min Act: -0.0003

Data Index: 184607 (C4 (Web Text))

Max Activating Token Index: 979

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Truncated

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Text #4

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Max Act: 0.0526. Min Act: -0.0002

Data Index: 692435 (C4 (Web Text))

Max Activating Token Index: 554

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Truncated

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Text #5

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Data Index: 221498 (C4 (Web Text))

Max Activating Token Index: 50

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Text #6

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Data Index: 1538321 (Python Code)

Max Activating Token Index: 96

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Text #7

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Data Index: 718739 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 720830 (C4 (Web Text))

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Text #9

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Data Index: 548544 (C4 (Web Text))

Max Activating Token Index: 947

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Text #10

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Data Index: 1387935 (Python Code)

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Text #11

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Data Index: 1230659 (C4 (Web Text))

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Text #12

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Data Index: 990145 (C4 (Web Text))

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Text #13

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Data Index: 239500 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1359211 (C4 (Web Text))

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Text #15

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Data Index: 1240924 (C4 (Web Text))

Max Activating Token Index: 478

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Text #16

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Data Index: 838499 (C4 (Web Text))

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Text #17

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Max Act: 0.0483. Min Act: -0.0003

Data Index: 8517 (C4 (Web Text))

Max Activating Token Index: 251

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Text #18

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Max Act: 0.0465. Min Act: -0.0004

Data Index: 224391 (C4 (Web Text))

Max Activating Token Index: 862

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Truncated

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Text #19

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Data Index: 978272 (C4 (Web Text))

Max Activating Token Index: 683

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