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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. 8-RES-JB
    6. 2906
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    INDEX
    Explanations

    mentions of sports accolades, particularly MVP awards

    oai_token-act-pair · gpt-3.5-turbo

    references to awards and accolades, particularly in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hani
    -0.82
    duino
    -0.79
     Rite
    -0.76
    gger
    -0.74
     Inquis
    -0.71
    axis
    -0.71
    bians
    -0.68
    itta
    -0.65
    meal
    -0.63
    sth
    -0.63
    POSITIVE LOGITS
     Award
    0.93
     Trophy
    0.91
     honors
    0.89
     contender
    0.83
    ial
    0.83
     MVP
    0.81
     Awards
    0.80
     trophy
    0.79
     recipient
    0.76
     award
    0.76
    Activations Density 0.037%

    No Known Activations