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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. 6-RES-JB
    6. 15793
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    Explanations

    terms related to legal language and clauses

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal and regulatory frameworks surrounding digital services and content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itsch
    -0.86
    ï¸ı
    -0.84
    peror
    -0.74
    kefeller
    -0.73
    ffee
    -0.73
     Canaver
    -0.72
    anmar
    -0.71
    thanks
    -0.70
    prisingly
    -0.70
    redibly
    -0.69
    POSITIVE LOGITS
     pursuant
    1.24
    .''.
    1.17
     thereto
    1.09
     thereof
    1.02
     lawfully
    1.01
    âĢij
    0.95
     incidental
    0.94
     shall
    0.93
     or
    0.93
    '';
    0.90
    Activations Density 0.853%

    No Known Activations