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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. 3-RES-JB
    11. 20137
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    Explanations

    references to China

    oai_token-act-pair · gpt-3.5-turbo

    mentions of China

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.70
    nor
    -0.69
    acet
    -0.68
    detail
    -0.68
    RH
    -0.68
    jac
    -0.66
    docker
    -0.66
    ellen
    -0.66
    iotic
    -0.66
    numbered
    -0.66
    POSITIVE LOGITS
     Jinping
    1.05
     Yuan
    1.00
     yuan
    0.94
     China
    0.90
    China
    0.87
     Jing
    0.84
     Xin
    0.83
     Unic
    0.81
     Arabia
    0.81
     nationals
    0.81
    Activations Density 0.022%

    No Known Activations