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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. 24541
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    INDEX
    Explanations

    dates in a specific format, specifically month, day, and year separated by commas

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    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
    everal
    -0.85
    ccording
    -0.79
     eleph
    -0.77
     tremend
    -0.77
    senal
    -0.75
    ModLoader
    -0.73
    avorite
    -0.70
    VIDIA
    -0.69
     gorilla
    -0.68
    ometimes
    -0.68
    POSITIVE LOGITS
     2017
    1.06
     2016
    1.05
     2015
    1.04
     2018
    0.99
     2014
    0.99
     2010
    0.94
     2013
    0.87
     2012
    0.84
     2011
    0.83
     2009
    0.77
    Activations Density 0.012%

    No Known Activations