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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. 5-RES-JB
    6. 5648
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    INDEX
    Explanations

    capitalized words conveying strong emotions or significance

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that indicate emotional or evaluative responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ag
    -0.66
    weed
    -0.66
      
    -0.62
     âĢº
    -0.62
    Engineers
    -0.60
     Tibetan
    -0.54
    Company
    -0.53
    Matrix
    -0.53
    bert
    -0.53
     ®
    -0.53
    POSITIVE LOGITS
     rul
    0.70
     KE
    0.69
    hower
    0.65
    )=(
    0.65
    ODY
    0.64
    ebted
    0.62
     CLIENT
    0.62
     condem
    0.60
    eatures
    0.59
    ilogy
    0.59
    Activations Density 2.067%

    No Known Activations