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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. 8-RES-JB
    11. 13053
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    INDEX
    Explanations

    specific dates in a particular format

    oai_token-act-pair · gpt-3.5-turbo

    formats of dates and numerical information

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     proceeds
    -0.69
     brim
    -0.68
     divest
    -0.68
     concede
    -0.67
     closer
    -0.65
     conceive
    -0.64
     maternal
    -0.62
     venture
    -0.62
    uran
    -0.62
     bribes
    -0.62
    POSITIVE LOGITS
    2017
    1.45
    2015
    1.44
    2018
    1.44
    2014
    1.40
    2016
    1.38
    2013
    1.36
    2012
    1.35
    2011
    1.29
    2006
    1.29
    2008
    1.28
    Activations Density 0.039%

    No Known Activations