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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. 2-RES-JB
    6. 22700
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    INDEX
    Explanations

    phrases related to minimizing something, such as minimizing risk or damage

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to reduction or minimization of negative impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ker
    -0.87
    king
    -0.82
    alyst
    -0.76
    ansas
    -0.74
    intel
    -0.69
    enegger
    -0.69
    kers
    -0.67
    soon
    -0.66
    otle
    -0.63
    piring
    -0.63
    POSITIVE LOGITS
     minimize
    0.91
    imize
    0.89
     minimizing
    0.82
     minim
    0.82
     distractions
    0.74
     minimized
    0.73
    urized
    0.72
     maximize
    0.71
     misunder
    0.70
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.70
    Activations Density 0.012%

    No Known Activations