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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 11948
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    Explanations

    references to data storage and processing capabilities in digital systems

    oai_token-act-pair · gpt-3.5-turbo

    metrics and specifications related to data transfer rates and sizes

    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
    uyomi
    -0.77
     canoe
    -0.67
    uve
    -0.66
     Tanner
    -0.66
     Dion
    -0.66
     disguised
    -0.65
     borne
    -0.64
     undercover
    -0.64
     Proposition
    -0.63
    apego
    -0.63
    POSITIVE LOGITS
    MB
    1.62
    KB
    1.49
    kb
    1.46
    Mi
    1.38
    kB
    1.37
    Mbps
    1.36
    Gb
    1.36
    mb
    1.35
    GB
    1.32
     Mb
    1.30
    Activations Density 0.148%

    No Known Activations