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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. 1-RES-JB
    6. 17015
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    INDEX
    Explanations

    phrases mentioning documents or reports, especially those related to scandals or leaks

    oai_token-act-pair · gpt-3.5-turbo

    references to the Panama Papers and associated leaks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nec
    -0.74
     Lansing
    -0.70
    UGH
    -0.70
    VIS
    -0.68
     Baal
    -0.67
    CONCLUS
    -0.65
    aud
    -0.65
    GY
    -0.64
    east
    -0.62
    ^^^^
    -0.62
    POSITIVE LOGITS
     Papers
    1.51
     Paper
    0.93
    Paper
    0.80
    Leaks
    0.77
    20439
    0.76
     Archive
    0.74
     Documents
    0.73
    breakers
    0.72
    mith
    0.70
     Pengu
    0.69
    Activations Density 0.014%

    No Known Activations