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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. 6-RES-JB
    11. 10649
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opic
    -0.78
     predec
    -0.74
     glim
    -0.70
     liner
    -0.68
     cumbers
    -0.66
    Continue
    -0.63
     grou
    -0.62
     patriarch
    -0.62
     bom
    -0.62
     princ
    -0.61
    POSITIVE LOGITS
     âĶľ
    0.94
     2018
    0.92
     2015
    0.88
     2016
    0.88
     2017
    0.87
     onwards
    0.85
     2014
    0.85
     2013
    0.82
     2012
    0.79
     2019
    0.77
    Activations Density 0.033%

    No Known Activations