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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1636
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    Explanations

    references to governmental roles and titles of ministers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.53
    ovací
    -0.48
    Parcelize
    -0.45
     automat
    -0.45
    automat
    -0.44
    ImageContext
    -0.42
     getItemId
    -0.41
    TagMode
    -0.40
    PageRoute
    -0.40
    AUTO
    -0.39
    POSITIVE LOGITS
     Minister
    1.01
     Ministry
    0.91
    Minister
    0.91
     minister
    0.88
    Ministry
    0.82
     Kementerian
    0.75
     ministry
    0.75
    minister
    0.73
     ministres
    0.71
    Minist
    0.71
    Activations Density 0.146%

    No Known Activations