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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. 0-RES-JB
    11. 22740
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    Explanations

    years mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2008

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antry
    -0.82
    othe
    -0.76
    hyde
    -0.72
    itives
    -0.71
    aimon
    -0.62
     amuse
    -0.61
     stret
    -0.60
     merchant
    -0.59
     mustard
    -0.58
     agreeable
    -0.58
    POSITIVE LOGITS
     2008
    3.31
     2007
    2.82
     2009
    2.74
     2004
    2.61
     2006
    2.59
     2010
    2.57
    2008
    2.52
     2005
    2.50
     2012
    2.47
     2003
    2.38
    Activations Density 0.024%

    No Known Activations