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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. 0-RES-JB
    6. 4129
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    Explanations

    references to a specific location, Myanmar

    oai_token-act-pair · gpt-3.5-turbo

    references to Myanmar and the Rohingya crisis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oil
    -0.74
    idal
    -0.71
     Disk
    -0.69
    agin
    -0.69
     Stam
    -0.69
    disk
    -0.68
     Klein
    -0.68
    graph
    -0.68
     Stars
    -0.67
     Stein
    -0.67
    POSITIVE LOGITS
     Myanmar
    3.90
     Rohingya
    2.61
     Burma
    2.58
    anmar
    2.30
     Rohing
    2.09
     Yang
    1.80
     Nepal
    1.67
     Bangladesh
    1.67
    Yang
    1.61
     Buddhist
    1.56
    Activations Density 0.031%

    No Known Activations