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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4276
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    Explanations

    references to geographical features, particularly hills and mountains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AntiForgeryToken
    -0.56
     poème
    -0.43
    Respondent
    -0.42
    stateProvider
    -0.42
    jsonwebtoken
    -0.41
    relativeTime
    -0.40
     rivista
    -0.39
    criminator
    -0.39
    JsonInclude
    -0.39
    Geografía
    -0.39
    POSITIVE LOGITS
     Hills
    0.71
    Hills
    0.67
     HILLS
    0.61
     throat
    0.57
    hills
    0.56
     Ras
    0.56
    Ras
    0.55
     mys
    0.54
    Tren
    0.54
     Mys
    0.52
    Activations Density 0.482%

    No Known Activations