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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. 10-RES-JB
    11. 12506
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    Explanations

    dates in the format of Month and Year

    oai_token-act-pair · gpt-3.5-turbo

    specific months and dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.63
     VIDEOS
    -0.60
    Jenn
    -0.57
    amines
    -0.57
    eworld
    -0.57
     kins
    -0.57
    irs
    -0.55
     bastard
    -0.55
     parap
    -0.54
     seam
    -0.54
    POSITIVE LOGITS
     2014
    1.58
     2015
    1.57
     2013
    1.55
     2011
    1.55
     2012
    1.54
     2010
    1.53
     2009
    1.51
     2016
    1.50
     2006
    1.44
     2007
    1.44
    Activations Density 0.091%

    No Known Activations