Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 0 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 1603267 (Python Code)
Max Activating Token Index: 683
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Text #1
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Data Index: 1452809 (Python Code)
Max Activating Token Index: 949
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Text #2
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Data Index: 1484754 (Python Code)
Max Activating Token Index: 1000
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Data Index: 1472142 (Python Code)
Max Activating Token Index: 333
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Text #4
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Data Index: 1584585 (Python Code)
Max Activating Token Index: 652
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Text #5
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Data Index: 1396719 (Python Code)
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Data Index: 1487480 (Python Code)
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Text #7
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Data Index: 1545923 (Python Code)
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Text #8
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Data Index: 1427675 (Python Code)
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Text #9
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Data Index: 1476448 (Python Code)
Max Activating Token Index: 686
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Text #10
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Data Index: 1413098 (Python Code)
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Text #11
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Data Index: 1399159 (Python Code)
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Text #12
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Text #13
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Text #14
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Text #15
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Data Index: 1411757 (Python Code)
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Text #16
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Text #17
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Data Index: 1511593 (Python Code)
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Text #18
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Text #19
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Data Index: 1455051 (Python Code)
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