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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8940
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    Explanations

    mentions of China

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iott
    -0.95
     Amanda
    -0.91
     Bucks
    -0.90
    Plugin
    -0.89
     Arkham
    -0.85
     Ajax
    -0.85
     Omaha
    -0.85
    Philadelphia
    -0.84
     Montgomery
    -0.83
    eder
    -0.83
    POSITIVE LOGITS
     Beijing
    2.32
     Chinese
    2.28
     Shanghai
    2.22
     China
    2.17
    Chinese
    2.16
     yuan
    2.15
    China
    2.12
     Jiang
    2.12
     Xi
    2.11
     Guang
    2.10
    Activations Density 0.844%

    No Known Activations