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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. 7-RES-JB
    11. 21628
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    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    date representations within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shr
    -0.72
    cius
    -0.70
    hur
    -0.70
    enh
    -0.70
    ctrl
    -0.69
    BIL
    -0.68
    vind
    -0.66
    orc
    -0.65
    should
    -0.65
    arf
    -0.64
    POSITIVE LOGITS
     2016
    0.99
     2014
    0.96
     2017
    0.94
     2010
    0.94
     2015
    0.93
     2012
    0.90
     2018
    0.89
     2008
    0.88
     2013
    0.88
     2011
    0.87
    Activations Density 0.030%

    No Known Activations