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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6389
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    Explanations

    terms related to specialization and optimization processes

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

    ending in "ize," "ization" or related suffixes

    np_acts-logits-general · gemini-2.0-flash

    maximize, minimize, normalize, personalize

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    قایناق‌لار
    -0.56
    싶
    -0.54
     AppBar
    -0.52
    Chham
    -0.51
    LookAnd
    -0.50
    nextProps
    -0.49
    gsmål
    -0.48
     ThemeData
    -0.47
     médec
    -0.47
    béco
    -0.46
    POSITIVE LOGITS
    ization
    0.67
    IZE
    0.65
    IZATION
    0.65
    ize
    0.64
    izing
    0.63
    化
    0.63
    ized
    0.60
    lization
    0.59
    lize
    0.59
     privatization
    0.59
    Activations Density 0.399%

    No Known Activations