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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. 1-RES-JB
    11. 22381
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    Explanations

    dates written in the format "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific dates, particularly in March

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.76
     neoc
    -0.70
     unnecess
    -0.69
     cumbers
    -0.65
     cleansing
    -0.64
    uden
    -0.63
    gone
    -0.63
     centralized
    -0.62
     selective
    -0.62
    lder
    -0.61
    POSITIVE LOGITS
     2015
    0.93
     2019
    0.92
     2017
    0.89
     2018
    0.88
     Madness
    0.86
     2011
    0.86
     2013
    0.85
     2003
    0.84
     March
    0.84
     2016
    0.82
    Activations Density 0.017%

    No Known Activations