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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7864
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    Explanations

    instances related to digital operations, such as commands and processes

    oai_token-act-pair · gpt-3.5-turbo

    nouns and entities related to various categories and occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yss
    -0.70
    ç·
    -0.70
    cgi
    -0.68
    reditary
    -0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.64
    cffffcc
    -0.62
    xious
    -0.62
    çī
    -0.62
    åŃIJ
    -0.61
    sonian
    -0.61
    POSITIVE LOGITS
     totaling
    1.01
     apiece
    1.00
    hips
    0.95
    mith
    0.94
     spanning
    0.93
     imaginable
    0.92
     including
    0.89
     vying
    0.88
     dotted
    0.87
     ranging
    0.86
    Activations Density 0.432%

    No Known Activations