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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. 5-RES-JB
    6. 23673
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    Explanations

    specific text tags or identifiers related to online projects or campaigns

    oai_token-act-pair · gpt-3.5-turbo

    references to specific projects and their management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veland
    -0.81
    oxide
    -0.77
    orce
    -0.73
     corners
    -0.71
    quez
    -0.68
    iths
    -0.68
     le
    -0.67
     slic
    -0.67
     thirds
    -0.65
    pson
    -0.65
    POSITIVE LOGITS
     chaired
    0.92
     underway
    0.90
     undertaken
    0.82
     spearheaded
    0.82
     funded
    0.78
     billed
    0.75
     fundraising
    0.73
     financed
    0.72
     Jindal
    0.71
     founded
    0.69
    Activations Density 0.557%

    No Known Activations