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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. 9-RES-JB
    11. 5879
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    Explanations

    mentions of specific countries, particularly Germany and the German language

    oai_token-act-pair · gpt-3.5-turbo

    references to Germany and its related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Navajo
    -1.04
    Utah
    -1.02
     SEAL
    -0.95
     Roku
    -0.95
     Arkansas
    -0.94
     Scorpion
    -0.94
     Cherokee
    -0.92
    Native
    -0.90
     Korra
    -0.89
     Hawai
    -0.88
    POSITIVE LOGITS
    Germany
    1.70
     Germany
    1.68
     Bundes
    1.66
     Bundesliga
    1.65
     Munich
    1.63
     Mü
    1.62
     German
    1.61
     Merkel
    1.60
     Gö
    1.60
     Cologne
    1.56
    Activations Density 0.763%

    No Known Activations