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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. 9302
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    INDEX
    Explanations

    sports scores, match outcomes, and game details

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations of scores and statistics in sports

    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
    agna
    -0.75
    objects
    -0.75
    videos
    -0.69
    ilial
    -0.67
    origin
    -0.64
    cair
    -0.64
    advert
    -0.62
    rete
    -0.62
    roo
    -0.62
    MSN
    -0.61
    POSITIVE LOGITS
     underdog
    0.78
     overtime
    0.77
     undefeated
    0.75
     aggregate
    0.71
     halftime
    0.67
     opponent
    0.66
     Fighting
    0.65
     defeats
    0.65
     unbeaten
    0.65
    imensional
    0.64
    Activations Density 0.045%

    No Known Activations