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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. 19771
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    INDEX
    Explanations

    references to legal trials

    oai_token-act-pair · gpt-3.5-turbo

    mentions of trials, particularly in a legal context

    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
    otle
    -0.77
    licks
    -0.75
    ula
    -0.70
    flush
    -0.70
    orns
    -0.67
    kell
    -0.66
    uts
    -0.66
    afort
    -0.65
     Boh
    -0.65
    sie
    -0.64
    POSITIVE LOGITS
    eer
    0.90
     balloon
    0.80
    eering
    0.79
    imony
    0.77
     Trials
    0.76
    osterone
    0.76
     balloons
    0.75
    neys
    0.71
     Lawyers
    0.70
    naire
    0.66
    Activations Density 0.030%

    No Known Activations