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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. 11-RES-JB
    6. 22720
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    INDEX
    Explanations

    the mention of specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable data and metrics related to pages, sizes, and counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eston
    -0.61
    nce
    -0.61
    IELD
    -0.60
    ocument
    -0.59
    aina
    -0.57
    roo
    -0.57
     Cloak
    -0.56
    ror
    -0.55
    AMI
    -0.55
     Fol
    -0.55
    POSITIVE LOGITS
     apiece
    1.81
    poons
    1.48
     per
    1.22
     total
    1.18
     consecut
    1.14
     totaling
    1.13
     max
    0.99
     maximum
    0.96
     each
    0.93
     crammed
    0.93
    Activations Density 0.296%

    No Known Activations