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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of the country China

    oai_token-act-pair · gpt-3.5-turbo

    references to the country China

    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
     ale
    -0.65
     Romero
    -0.65
    ascript
    -0.65
     ${
    -0.63
    vous
    -0.63
    hyde
    -0.63
     fitt
    -0.63
    yne
    -0.62
    isode
    -0.61
    iott
    -0.60
    POSITIVE LOGITS
     China
    3.54
    China
    3.27
     Beijing
    2.62
     Chinese
    2.52
    Chinese
    2.39
     Shanghai
    2.25
     Taiwan
    2.21
     Japan
    2.03
     Asia
    2.02
    Japan
    1.97
    Activations Density 0.025%

    No Known Activations