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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. 4586
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    INDEX
    Explanations

    words related to various concepts or attributes, such as noise, intellectual, currency, etc., with an emphasis on concepts related to information and analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social issues and public health

    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
    ramid
    -0.75
    mma
    -0.73
    adra
    -0.69
    ungle
    -0.67
    iphate
    -0.66
    ixties
    -0.65
    aughters
    -0.64
    purpose
    -0.63
    HY
    -0.62
    endment
    -0.62
    POSITIVE LOGITS
     programmers
    0.78
     historians
    0.71
     policymakers
    0.70
     traders
    0.70
     fatigue
    0.70
     researchers
    0.69
     officials
    0.68
     scholars
    0.68
     engineers
    0.67
     developers
    0.67
    Activations Density 0.566%

    No Known Activations