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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. 38016
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    INDEX
    Explanations

    attributes related to skilled and trained personnel

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

    trained staff and professionals

    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
    endphp
    -0.64
     onCreateView
    -0.58
    PreferredItem
    -0.54
    AndroidJUnit
    -0.53
    SharedDtor
    -0.52
     AssemblyCulture
    -0.48
     kapturem
    -0.48
     detenido
    -0.48
     tartalomajánló
    -0.48
    zeera
    -0.47
    POSITIVE LOGITS
    Демографія
    0.39
     personnel
    0.39
     والث
    0.37
    GRAP
    0.35
    Same
    0.35
     humaine
    0.35
     enf
    0.35
     Personnel
    0.34
     staffed
    0.34
     ganas
    0.32
    Activations Density 0.084%

    No Known Activations