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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 1441
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    INDEX
    Explanations

    references to specific towns or locations

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

    Chinatown, up-town, down-town

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     gainera
    -0.54
    expandindo
    -0.53
     estekak
    -0.52
     MutableLiveData
    -0.49
     tchèque
    -0.49
     CURIAM
    -0.47
     ligiloj
    -0.47
     Finlande
    -0.46
     חיצוניים
    -0.45
     MessageBoxIcon
    -0.45
    POSITIVE LOGITS
    town
    2.94
    TOWN
    2.39
    Town
    1.80
    towns
    1.55
     Town
    1.45
     town
    1.43
     TOWN
    1.31
    stown
    1.20
    ntown
    1.19
    タウン
    1.17
    Activations Density 0.003%

    No Known Activations