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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. 7-RES-JB
    11. 21462
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    Explanations

    technical terms related to various systems and processes, including technology, medical, and scientific concepts

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and their usage in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.68
    wcs
    -0.66
    ĸļ
    -0.65
     answ
    -0.63
    NPR
    -0.58
    swer
    -0.58
    ndra
    -0.57
    shr
    -0.56
    Ļ½
    -0.56
    ãĥĦ
    -0.55
    POSITIVE LOGITS
    ãĥİ
    0.71
    skin
    0.63
    Limit
    0.61
    /"
    0.61
     interchange
    0.60
     versus
    0.58
     membranes
    0.58
     mode
    0.55
    uffs
    0.55
    ilic
    0.54
    Activations Density 0.150%

    No Known Activations