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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9615
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    Explanations

    specific names and locations in a sports context

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

    Text after numbers or parentheses

    np_acts-logits-general · gemini-2.0-flash

    senior year locker room

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    şiv
    -0.45
     unknownFields
    -0.44
    脚注の使い方
    -0.44
     Wikimedijinoj
    -0.43
    VolleyError
    -0.41
     traveling
    -0.40
    çamento
    -0.40
     nonUne
    -0.40
    InjectAttribute
    -0.39
    ztyn
    -0.39
    POSITIVE LOGITS
    SharedCtor
    0.54
     يتيمه
    0.50
     Italijani
    0.48
    sizeCache
    0.46
    Portail
    0.44
    AFL
    0.44
     AFL
    0.42
    ronpa
    0.40
    karan
    0.39
    setVerticalGroup
    0.38
    Activations Density 0.107%

    No Known Activations