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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. 4-RES-JB
    6. 17868
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    Explanations

    words related to the banking industry

    oai_token-act-pair · gpt-3.5-turbo

    topics related to banking and financial institutions

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

    No Comments

    Negative Logits
    imus
    -0.81
     Wem
    -0.73
    witz
    -0.72
    imens
    -0.72
     Loving
    -0.72
    hered
    -0.70
     Ake
    -0.69
    ————
    -0.69
    Detailed
    -0.64
    gro
    -0.64
    POSITIVE LOGITS
     banking
    1.01
     establishments
    0.91
     institutions
    0.86
     transactions
    0.84
     bankers
    0.83
     assets
    0.82
     Banking
    0.80
     banks
    0.79
     banker
    0.78
     dealings
    0.77
    Activations Density 0.009%

    No Known Activations