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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9083
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    INDEX
    Explanations

    numbers and quantities, particularly related to orders, incidents, percentages, and financial figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and trends related to statistics and reports

    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
    heid
    -0.62
    oling
    -0.58
     dign
    -0.56
     aristocracy
    -0.55
     suff
    -0.55
     cradle
    -0.55
     brains
    -0.53
     anarchists
    -0.52
     arist
    -0.52
     unint
    -0.52
    POSITIVE LOGITS
     thereafter
    1.19
     last
    1.14
    ruary
    1.08
    last
    1.07
    nesday
    1.03
     2013
    1.02
     2015
    1.01
     yesterday
    1.01
     2014
    1.00
     today
    1.00
    Activations Density 0.392%

    No Known Activations