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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 3644
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    Explanations

    references to geographical features and locations, particularly mountains and forts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Preceding "Mount" or "Fort"

    np_acts-logits-general · gemini-2.0-flash

    names of Forts and Mountains

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chwiliwch
    -0.45
    残
    -0.43
    殘
    -0.43
    neurial
    -0.42
    blij
    -0.42
    emptyList
    -0.41
    序
    -0.40
    istical
    -0.40
    horabuena
    -0.39
     persist
    -0.39
    POSITIVE LOGITS
     Mount
    0.51
    Mount
    0.47
     AssemblyTitle
    0.46
    CreateModel
    0.46
    IVersion
    0.44
     Mt
    0.44
    地说道
    0.44
    TemporalType
    0.43
     Eſ
    0.42
     deſt
    0.40
    Activations Density 0.119%

    No Known Activations