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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. 7495
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned within the text

    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
    opic
    -0.87
    ufact
    -0.79
     streng
    -0.75
     VIDEOS
    -0.73
    advertisement
    -0.69
     diaper
    -0.67
     ingred
    -0.65
    tracks
    -0.65
    xus
    -0.64
    elope
    -0.63
    POSITIVE LOGITS
     2017
    1.44
     2018
    1.39
     2015
    1.38
     2014
    1.37
     2016
    1.37
     2013
    1.35
     2012
    1.31
     2007
    1.26
     2011
    1.25
     2005
    1.25
    Activations Density 0.052%

    No Known Activations