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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. 11-RES-JB
    11. 12829
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    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    dates and publication information

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    hement
    -0.70
     stret
    -0.69
     glim
    -0.68
     volunte
    -0.68
     cumbers
    -0.67
     eleph
    -0.66
    aditional
    -0.65
     exha
    -0.65
    ometimes
    -0.65
     practition
    -0.65
    POSITIVE LOGITS
     2007
    1.40
     2006
    1.39
     2009
    1.34
     2008
    1.34
     2004
    1.33
     2010
    1.32
     2005
    1.32
     2002
    1.32
     2003
    1.32
     1997
    1.29
    Activations Density 0.091%

    No Known Activations