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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. 3-RES-JB
    11. 2947
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    Explanations

    dates in the format of months followed by numeric values

    oai_token-act-pair · gpt-3.5-turbo

    dates in the month of November

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jriwal
    -0.92
    king
    -0.79
    ldon
    -0.77
     cumbers
    -0.77
    pires
    -0.76
    cher
    -0.73
    gypt
    -0.73
    ventures
    -0.72
    keyes
    -0.72
     attendant
    -0.70
    POSITIVE LOGITS
     2017
    0.93
     2015
    0.92
     2016
    0.91
     2014
    0.91
     2012
    0.89
     2018
    0.87
    flower
    0.87
     2013
    0.86
     2010
    0.85
     2021
    0.83
    Activations Density 0.013%

    No Known Activations