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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. 1-RES-JB
    11. 2233
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    Explanations

    references to authors or publishers in the content

    oai_token-act-pair · gpt-3.5-turbo

    the presence of author names and titles in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usters
    -0.79
    ocobo
    -0.71
    ueller
    -0.68
    romy
    -0.64
    ãĢı
    -0.64
    outine
    -0.63
    etsy
    -0.63
     Antar
    -0.63
    alion
    -0.62
    boro
    -0.62
    POSITIVE LOGITS
     Author
    1.22
    itarian
    0.99
     Authors
    0.94
     Downloads
    0.89
     Name
    0.86
     Finder
    0.85
     Creator
    0.85
    Author
    0.84
    Credit
    0.83
    itative
    0.82
    Activations Density 0.032%

    No Known Activations