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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. 7-RES-JB
    6. 10824
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    keywords related to .NET technology

    oai_token-act-pair · gpt-3.5-turbo

    references to network technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ée
    -1.00
    iary
    -0.86
    ued
    -0.85
    és
    -0.82
    ury
    -0.75
    ary
    -0.74
    anas
    -0.70
    imony
    -0.70
    itions
    -0.69
    imens
    -0.69
    POSITIVE LOGITS
    lli
    0.79
    ï¸ı
    0.77
    stals
    0.76
    orld
    0.76
    pson
    0.75
    pter
    0.68
    ski
    0.68
    pheus
    0.67
    stal
    0.66
    llular
    0.66
    Activations Density 0.098%

    No Known Activations