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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to the country "South Africa"

    oai_token-act-pair · gpt-3.5-turbo

    references to South Africa

    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
     deduct
    -0.75
    irez
    -0.70
    requ
    -0.70
     Weld
    -0.65
    hend
    -0.64
     consum
    -0.64
    INAL
    -0.62
    /(
    -0.62
     fram
    -0.62
     pun
    -0.61
    POSITIVE LOGITS
     Africa
    3.70
     Africans
    2.46
    African
    2.15
     African
    2.13
    Af
    2.06
     Ethiopia
    2.00
     Kenya
    1.99
     Nigeria
    1.98
     Afric
    1.98
     Tanzania
    1.89
    Activations Density 0.018%

    No Known Activations