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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1430
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    Explanations

    the repeated mention of the word "serve" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fotográfico
    -0.76
     resourceCulture
    -0.72
     Infór
    -0.68
     navideño
    -0.67
     Italij
    -0.67
     literario
    -0.66
     Monfieur
    -0.64
     indígen
    -0.63
     Geſ
    -0.63
    UrlResolution
    -0.63
    POSITIVE LOGITS
     serve
    1.08
     serving
    0.82
    serve
    0.81
     rush
    0.79
     Rush
    0.77
     Serve
    0.76
     serves
    0.75
    Rush
    0.71
    Serve
    0.67
    serving
    0.61
    Activations Density 0.214%

    No Known Activations