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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. 10415
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    Explanations

    mentions of the Most Valuable Player (MVP) in various contexts, across different sports and awards

    oai_token-act-pair · gpt-3.5-turbo

    mentions of MVP (Most Valuable Player) related content

    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
    hani
    -0.90
    duino
    -0.82
    gger
    -0.74
    tern
    -0.71
     Rite
    -0.69
    itta
    -0.69
    axis
    -0.67
    eworld
    -0.67
    enegger
    -0.65
    licts
    -0.65
    POSITIVE LOGITS
    ial
    0.77
     Trophy
    0.77
    ouch
    0.75
     recipient
    0.75
     contender
    0.74
    ukong
    0.72
     frontrunner
    0.72
     honors
    0.71
    urated
    0.70
     trophy
    0.70
    Activations Density 0.021%

    No Known Activations