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

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

Neuron 960 in Layer 1

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

Text #0

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Max Act: 0.0120. Min Act: -0.0003

Data Index: 1607199 (Python Code)

Max Activating Token Index: 137

Text #1

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Max Act: 0.0105. Min Act: -0.0003

Data Index: 1642406 (Python Code)

Max Activating Token Index: 306

Text #2

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 1423582 (Python Code)

Max Activating Token Index: 465

Text #3

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Max Act: 0.0104. Min Act: -0.0003

Data Index: 1609781 (Python Code)

Max Activating Token Index: 63

Text #4

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Max Act: 0.0103. Min Act: -0.0003

Data Index: 1464793 (Python Code)

Max Activating Token Index: 296

Text #5

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Max Act: 0.0101. Min Act: -0.0003

Data Index: 1381514 (Python Code)

Max Activating Token Index: 400

Text #6

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Data Index: 1563334 (Python Code)

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Text #7

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Data Index: 1477757 (Python Code)

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Text #8

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Data Index: 1641692 (Python Code)

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Text #9

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Data Index: 1427249 (Python Code)

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Text #10

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Data Index: 1367321 (Python Code)

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Text #11

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Data Index: 1129166 (C4 (Web Text))

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Text #12

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Data Index: 1581987 (Python Code)

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Text #13

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Data Index: 1602757 (Python Code)

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Text #14

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Data Index: 1535279 (Python Code)

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Text #15

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Data Index: 1388912 (Python Code)

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Text #16

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Data Index: 1649684 (Python Code)

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Text #17

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Data Index: 1576381 (Python Code)

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Text #18

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Data Index: 1616888 (Python Code)

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Text #19

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Data Index: 1594064 (Python Code)

Max Activating Token Index: 391