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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. 7176
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    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific dates or timelines

    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
     VIDEOS
    -0.82
     streng
    -0.80
    opic
    -0.77
    ufact
    -0.72
     steroids
    -0.71
     ingred
    -0.68
    cler
    -0.66
     brow
    -0.66
     glim
    -0.65
    llah
    -0.65
    POSITIVE LOGITS
     2017
    1.41
     2014
    1.39
     2015
    1.39
     2018
    1.37
     2013
    1.35
     2016
    1.34
     2012
    1.31
     2011
    1.27
     2006
    1.25
     2001
    1.23
    Activations Density 0.041%

    No Known Activations