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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. 2-RES-JB
    6. 13529
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    INDEX
    Explanations

    references to negotiations and disputes

    oai_token-act-pair · gpt-3.5-turbo

    words that relate to large quantities or sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.74
    erved
    -0.70
    benefit
    -0.70
     redistributed
    -0.67
    living
    -0.66
    mable
    -0.65
    chrom
    -0.64
    DEP
    -0.64
    practice
    -0.63
     magnification
    -0.62
    POSITIVE LOGITS
    arge
    1.30
    ments
    0.91
    pole
    0.83
    ange
    0.76
    andom
    0.76
    aux
    0.75
    ress
    0.75
    andise
    0.75
     Simpson
    0.75
    anty
    0.73
    Activations Density 0.013%

    No Known Activations