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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. 8075
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    INDEX
    Explanations

    concepts related to uniformity and consistency in various contexts

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

    evenness or standardization

    np_acts-logits-general · gemini-2.0-flash

    uniform consistency

    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
    ViewById
    -0.53
    WebVitals
    -0.50
    ngrx
    -0.50
    CardHeader
    -0.46
    erweise
    -0.46
    CardModule
    -0.46
    TabPage
    -0.45
    XmlSchema
    -0.45
    bkz
    -0.45
     SALUD
    -0.44
    POSITIVE LOGITS
     uniform
    1.63
    uniform
    1.57
    Uniform
    1.49
     Uniform
    1.48
     uniformity
    1.43
     uniforme
    1.27
     uniformes
    1.23
     consistent
    1.20
     uniformly
    1.19
     Consistent
    1.15
    Activations Density 0.295%

    No Known Activations