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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. 4-RES-JB
    11. 1919
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    Explanations

    textual elements such as line breaks and section markers within a document

    oai_token-act-pair · gpt-3.5-turbo

    structural elements or formats in written content

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

    No Comments

    Negative Logits
     neigh
    -0.69
    userc
    -0.68
    mens
    -0.67
    ayson
    -0.65
     warr
    -0.64
     slam
    -0.64
     fres
    -0.63
     wont
    -0.63
     citiz
    -0.62
    llah
    -0.60
    POSITIVE LOGITS
    References
    1.14
    Appearances
    1.04
    Trivia
    1.02
    Gallery
    0.99
    However
    0.93
    See
    0.92
    Notable
    0.89
    Nevertheless
    0.88
    History
    0.87
    âĨij
    0.85
    Activations Density 0.282%

    No Known Activations