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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 16627
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    Explanations

    descriptions of scenic views or photography

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to location and spatial context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ancial
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    ividual
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    ;;;;;;;;;;;;
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    uilt
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    escription
    -0.73
    irlf
    -0.70
    lished
    -0.69
    oided
    -0.69
    mercial
    -0.69
    POSITIVE LOGITS
    CLASSIFIED
    1.09
     behavi
    0.91
    WAYS
    0.87
    NetMessage
    0.86
    GoldMagikarp
    0.81
    Balt
    0.76
     largeDownload
    0.74
     toile
    0.73
     reperc
    0.73
    ASED
    0.72
    Activations Density 14.430%

    No Known Activations