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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 953
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    references to corporate leadership roles and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tesla
    -0.52
    Tesla
    -0.48
    erati
    -0.48
     HUAWEI
    -0.47
    inau
    -0.47
     Audi
    -0.47
    IBM
    -0.46
    vets
    -0.44
     Lexus
    -0.44
     Nike
    -0.44
    POSITIVE LOGITS
     parent
    0.81
     conglomerate
    0.65
     headquartered
    0.60
     diversified
    0.57
     multinational
    0.57
    parent
    0.57
    总部
    0.56
     privately
    0.55
     PARENT
    0.55
     holding
    0.54
    Activations Density 0.339%

    No Known Activations