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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. 5-RES-JB
    6. 14734
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    Explanations

    references to the country "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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RH
    -0.74
    rawdownloadcloneembedreportprint
    -0.73
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.72
     RTX
    -0.69
    iotic
    -0.69
     Bram
    -0.68
    docker
    -0.68
     Seym
    -0.68
    schild
    -0.67
    mares
    -0.65
    POSITIVE LOGITS
     Jinping
    1.12
     Yuan
    0.93
     Unic
    0.89
     yuan
    0.84
     Jing
    0.84
     nationals
    0.83
    China
    0.82
    jing
    0.80
     Zhu
    0.79
     China
    0.79
    Activations Density 0.030%

    No Known Activations