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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. 15738
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    INDEX
    Explanations

    inventors, creators, and origins of various technologies, methods, and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to inventors, creators, and their creations or contributions

    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
    hani
    -0.68
    HUD
    -0.68
    Prosecutors
    -0.65
    WR
    -0.65
    orneys
    -0.65
    jury
    -0.64
     Kills
    -0.63
    rider
    -0.63
    Lago
    -0.63
    uku
    -0.63
    POSITIVE LOGITS
     modern
    0.87
    ipedia
    0.85
     innovations
    0.73
     inventions
    0.73
     mankind
    0.72
     communism
    0.70
     Homo
    0.69
     Macintosh
    0.69
    thood
    0.69
     Revolution
    0.69
    Activations Density 0.311%

    No Known Activations