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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. 4071
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    INDEX
    Explanations

    numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to time, measurements, and quantities

    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
    ashtra
    -0.67
    ulkan
    -0.66
    ande
    -0.62
    wart
    -0.61
    urdy
    -0.60
     reeling
    -0.60
    raught
    -0.59
    doing
    -0.58
    products
    -0.58
     sorts
    -0.58
    POSITIVE LOGITS
     increments
    1.09
     apiece
    0.95
    bsp
    0.82
    undred
    0.82
    ousand
    0.74
     Ago
    0.69
     intervals
    0.67
     teasp
    0.63
    è£
    0.63
    GHz
    0.63
    Activations Density 0.172%

    No Known Activations