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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. 6130
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    INDEX
    Explanations

    dates in the format month day, year and locations with associated events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of commas 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
    eton
    -0.65
    ļéĨĴ
    -0.61
    ioned
    -0.60
     streng
    -0.60
     wasteland
    -0.59
    cknow
    -0.59
    inctions
    -0.59
    othe
    -0.57
    :(
    -0.56
    ¶
    -0.55
    POSITIVE LOGITS
     2017
    1.67
     2016
    1.60
     2018
    1.59
     2014
    1.59
     2015
    1.57
     2013
    1.56
     2012
    1.52
     2011
    1.45
     2019
    1.45
     2010
    1.43
    Activations Density 0.073%

    No Known Activations