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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. 18770
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    Explanations

    import statements for a specific programming language

    oai_token-act-pair · gpt-3.5-turbo

    references to code or programming concepts related to URL handling and web frameworks

    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
    Not in Any Lists

    No Comments

    Negative Logits
     TAMADRA
    -0.81
     swell
    -0.80
     inaccurate
    -0.70
     exceeding
    -0.70
     unheard
    -0.69
     underestimated
    -0.68
     haunting
    -0.67
     swat
    -0.66
     erased
    -0.66
     untold
    -0.66
    POSITIVE LOGITS
    util
    1.39
    plugins
    1.36
    modules
    1.36
    tools
    1.34
    framework
    1.29
    utils
    1.27
    VERSION
    1.25
    dll
    1.24
    core
    1.22
    internal
    1.19
    Activations Density 0.080%

    No Known Activations