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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. 1711
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    INDEX
    Explanations

    the names of actors, actresses, directors, and other film production crew members

    oai_token-act-pair · gpt-3.5-turbo

    names of actors, filmmakers, and notable contributors in film

    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
    tnc
    -0.95
    igent
    -0.76
     subsistence
    -0.76
    ickr
    -0.73
     administr
    -0.70
    uyomi
    -0.69
    nesses
    -0.68
    gencies
    -0.68
    thening
    -0.67
    etsk
    -0.67
    POSITIVE LOGITS
     Films
    0.97
     Russo
    0.94
     Baz
    0.94
     Whedon
    0.92
     Bros
    0.91
     Anderson
    0.91
     Simmons
    0.90
     Vaughn
    0.88
     actor
    0.88
     Hogan
    0.87
    Activations Density 0.227%

    No Known Activations