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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. 9-RES-JB
    11. 10070
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    Explanations

    specific mentions of the word "document."

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.85
    cffffcc
    -0.78
    cffff
    -0.76
    ategory
    -0.74
    uyomi
    -0.71
    Stars
    -0.71
    eatures
    -0.70
    awar
    -0.70
    nen
    -0.69
    NetMessage
    -0.69
    POSITIVE LOGITS
    arians
    1.24
    arian
    1.09
    ually
    1.07
     detailing
    0.92
     document
    0.91
     outlining
    0.90
     documents
    0.90
    uments
    0.88
    aries
    0.88
    herty
    0.86
    Activations Density 0.056%

    No Known Activations