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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. 587
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.82
     streng
    -0.79
    ensical
    -0.77
     behavi
    -0.75
     tremend
    -0.75
    etheless
    -0.74
    hement
    -0.72
    Ļ½
    -0.72
    everal
    -0.71
     predec
    -0.69
    POSITIVE LOGITS
     2017
    1.68
     2018
    1.66
     2014
    1.66
     2013
    1.65
     2012
    1.61
     2015
    1.60
     2016
    1.57
     2011
    1.56
     2010
    1.54
     2009
    1.53
    Activations Density 0.042%

    No Known Activations