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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 43106
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    INDEX
    Explanations

    quantitative expressions of abundance or scarcity

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

    much or a lot

    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
    VIAF
    -0.59
     initComponents
    -0.56
     CURIAM
    -0.52
    ValueStyle
    -0.51
    sidemargin
    -0.50
    InitVars
    -0.46
    SequentialGroup
    -0.45
    ंदीखरीदारी
    -0.43
    providedIn
    -0.43
    AutoField
    -0.42
    POSITIVE LOGITS
     mucho
    1.05
     beaucoup
    0.98
     muito
    0.95
    Mucho
    0.91
    muito
    0.91
     mucha
    0.90
    Beaucoup
    0.88
    mucho
    0.88
     Beaucoup
    0.85
    Muito
    0.84
    Activations Density 0.004%

    No Known Activations