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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. 9-RES-JB
    11. 11703
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    INDEX
    Explanations

    dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    comma placements in written dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.68
     streng
    -0.68
     predec
    -0.64
    ioned
    -0.62
    ldon
    -0.62
     citiz
    -0.61
     germ
    -0.58
     residue
    -0.58
    eton
    -0.57
     wasteland
    -0.57
    POSITIVE LOGITS
     2018
    1.37
     2017
    1.35
     2014
    1.30
     2015
    1.26
     2013
    1.24
     2016
    1.24
     2012
    1.19
     2011
    1.14
     2010
    1.13
     2009
    1.12
    Activations Density 0.064%

    No Known Activations