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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 798
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    Explanations

    names or terms likely related to legal or formal documents

    oai_token-act-pair · gpt-3.5-turbo

    references to names, particularly in a context related to discussions or analyses

    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
    Not in Any Lists

    No Comments

    Negative Logits
     prism
    -0.68
    ario
    -0.65
     rod
    -0.64
    pole
    -0.64
    EGA
    -0.63
    azo
    -0.63
    pport
    -0.62
     solitary
    -0.61
     Barg
    -0.60
     Pen
    -0.58
    POSITIVE LOGITS
    names
    3.30
     namespace
    1.34
    Names
    1.27
     Names
    0.92
    paces
    0.88
    maps
    0.86
    template
    0.85
    pages
    0.82
    chat
    0.82
    stocks
    0.81
    Activations Density 0.029%

    No Known Activations