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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. 10-RES-JB
    6. 28
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    INDEX
    Explanations

    topics related to different industries or fields such as baseball, music, cinema, comics, beer, animation, rock, journalism, rap music, food, craft beer, eSports, film, aviation, California wine

    oai_token-act-pair · gpt-3.5-turbo

    topics related to various forms of art and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.69
    imura
    -0.65
     clot
    -0.65
    thens
    -0.65
     Nest
    -0.64
     Mechdragon
    -0.63
    uilt
    -0.62
    ixture
    -0.61
     Stab
    -0.60
    hement
    -0.59
    POSITIVE LOGITS
     journalism
    1.18
     storytelling
    1.00
     fandom
    0.98
     academia
    0.97
     photography
    0.94
     filmmaking
    0.93
     culture
    0.91
     circles
    0.87
     psychology
    0.87
     careers
    0.87
    Activations Density 0.318%

    No Known Activations