Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2826 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0343. Min Range: -0.0343

Max Act: 0.0340. Min Act: -0.0004

Data Index: 1491448 (Python Code)

Max Activating Token Index: 7

Text #1

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Max Act: 0.0343. Min Act: -0.0004

Data Index: 168412 (C4 (Web Text))

Max Activating Token Index: 14

Text #2

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Max Act: 0.0315. Min Act: -0.0004

Data Index: 1537830 (Python Code)

Max Activating Token Index: 476

Text #3

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Max Act: 0.0326. Min Act: -0.0004

Data Index: 1604166 (Python Code)

Max Activating Token Index: 125

Text #4

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Max Act: 0.0314. Min Act: -0.0004

Data Index: 1581139 (Python Code)

Max Activating Token Index: 652

Text #5

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Max Act: 0.0333. Min Act: -0.0004

Data Index: 1443565 (Python Code)

Max Activating Token Index: 44

Text #6

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Max Act: 0.0321. Min Act: -0.0004

Data Index: 1447470 (Python Code)

Max Activating Token Index: 16

Text #7

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Max Act: 0.0304. Min Act: -0.0004

Data Index: 1398670 (Python Code)

Max Activating Token Index: 861

Text #8

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Data Index: 1428409 (Python Code)

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Text #9

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Max Act: 0.0309. Min Act: -0.0004

Data Index: 1467183 (Python Code)

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Text #10

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Data Index: 1629574 (Python Code)

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Text #11

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Data Index: 1534883 (Python Code)

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Text #12

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Data Index: 1587412 (Python Code)

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Text #13

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Max Act: 0.0288. Min Act: -0.0004

Data Index: 1657019 (Python Code)

Max Activating Token Index: 5

Text #14

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Data Index: 1569314 (Python Code)

Max Activating Token Index: 71

Text #15

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Data Index: 1451863 (Python Code)

Max Activating Token Index: 204

Text #16

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Data Index: 1527887 (Python Code)

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Text #17

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Data Index: 1383803 (Python Code)

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Text #18

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Max Act: 0.0281. Min Act: -0.0004

Data Index: 117147 (C4 (Web Text))

Max Activating Token Index: 23

Text #19

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Max Act: 0.0274. Min Act: -0.0004

Data Index: 1464694 (Python Code)

Max Activating Token Index: 32