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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to legal proceedings involving judges

    oai_token-act-pair · gpt-3.5-turbo

    mentions of judges and their actions in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reek
    -0.77
    kefeller
    -0.77
    haar
    -0.77
    jri
    -0.76
    vised
    -0.73
    uld
    -0.73
    heres
    -0.73
    irst
    -0.70
    uilt
    -0.69
     takeoff
    -0.66
    POSITIVE LOGITS
     Advocate
    0.95
     examiner
    0.80
     presiding
    0.79
     judge
    0.78
    ģĸ
    0.78
     overseeing
    0.76
     rulings
    0.73
    rooms
    0.73
    maker
    0.73
     arbit
    0.73
    Activations Density 0.017%

    No Known Activations