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

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

Neuron 164 in Layer 1

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

Text #0

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Max Act: 0.3439. Min Act: -0.0006

Data Index: 1388406 (Python Code)

Max Activating Token Index: 852

Text #1

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Max Act: 0.1727. Min Act: -0.0006

Data Index: 1368412 (Python Code)

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Text #2

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Max Act: 0.0892. Min Act: -0.0006

Data Index: 1643548 (Python Code)

Max Activating Token Index: 941

Text #3

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Max Act: 0.0540. Min Act: -0.0006

Data Index: 1382997 (Python Code)

Max Activating Token Index: 970

Text #4

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Max Act: 0.0513. Min Act: -0.0006

Data Index: 1612346 (Python Code)

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Text #5

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Max Act: 0.0499. Min Act: -0.0006

Data Index: 1422976 (Python Code)

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Text #6

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Data Index: 1360693 (Python Code)

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Text #7

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Max Activating Token Index: 756

Text #8

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Max Activating Token Index: 420

Text #9

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Data Index: 1153073 (C4 (Web Text))

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Text #10

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Max Activating Token Index: 244

Text #11

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Max Activating Token Index: 941

Text #12

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Max Activating Token Index: 427

Text #13

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Data Index: 232479 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1492056 (Python Code)

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Text #19

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Max Act: 0.0288. Min Act: -0.0006

Data Index: 279682 (C4 (Web Text))

Max Activating Token Index: 645