Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2396 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0035. Min Range: -0.0035

Max Act: 0.0034. Min Act: -0.0000

Data Index: 277957 (C4 (Web Text))

Max Activating Token Index: 72

Text #1

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Max Act: 0.0032. Min Act: -0.0000

Data Index: 1468364 (Python Code)

Max Activating Token Index: 669

Text #2

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Max Act: 0.0027. Min Act: -0.0000

Data Index: 1560546 (Python Code)

Max Activating Token Index: 290

Text #3

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Max Act: 0.0032. Min Act: -0.0000

Data Index: 1459212 (Python Code)

Max Activating Token Index: 204

Text #4

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Data Index: 1525729 (Python Code)

Max Activating Token Index: 576

Text #5

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Data Index: 45429 (C4 (Web Text))

Max Activating Token Index: 200

Text #6

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Text #7

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Text #8

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Data Index: 1433705 (Python Code)

Max Activating Token Index: 455

Text #9

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Text #10

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Data Index: 483151 (C4 (Web Text))

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Text #11

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Data Index: 1612964 (Python Code)

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Text #12

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Data Index: 1411495 (Python Code)

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Text #13

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Data Index: 1071073 (C4 (Web Text))

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Text #14

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Data Index: 718739 (C4 (Web Text))

Max Activating Token Index: 200

Text #15

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Data Index: 1541906 (Python Code)

Max Activating Token Index: 882

Text #16

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Data Index: 1454910 (Python Code)

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Text #17

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Data Index: 696842 (C4 (Web Text))

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Text #18

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Data Index: 55732 (C4 (Web Text))

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Text #19

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Data Index: 1445384 (Python Code)

Max Activating Token Index: 619