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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2774
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation and formatting elements in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Huss
    -0.75
     Frie
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    Must
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     gra
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     spons
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     encour
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    MF
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     Fo
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     embr
    -0.68
    POSITIVE LOGITS
    2016
    0.95
    idate
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    ãĥĢ
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    uble
    0.88
    idated
    0.87
    ada
    0.81
     Kub
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    adas
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    yna
    0.79
    16
    0.79
    Activations Density 0.354%

    No Known Activations