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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. 1980
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    INDEX
    Explanations

    proper nouns and terms, possibly related to news articles or publications

    oai_token-act-pair · gpt-3.5-turbo

    references to value or importance, particularly in the context of art and collections

    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
    unia
    -0.62
    keeper
    -0.60
    Ö¼
    -0.58
     recons
    -0.57
    issa
    -0.55
    gue
    -0.55
    isse
    -0.55
    afety
    -0.54
    ienne
    -0.54
    arden
    -0.54
    POSITIVE LOGITS
     respectively
    0.81
     apiece
    0.77
     nominees
    0.77
     Lists
    0.77
     nominations
    0.77
     PACs
    0.76
     list
    0.75
    ategor
    0.73
     trio
    0.72
     eclectic
    0.71
    Activations Density 1.188%

    No Known Activations