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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. 45196
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    Explanations

    mentions of logistic regression models and techniques

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

    logistic regression

    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
    rungsseite
    -0.67
    存于互联网档案馆
    -0.59
     ویکی‌پدی
    -0.58
     ब्रेकडाउन
    -0.56
    IVEREF
    -0.55
    لينكات
    -0.54
    __*/
    -0.54
    Географи
    -0.53
     يتيمه
    -0.53
    clerView
    -0.52
    POSITIVE LOGITS
     logistic
    1.48
     Logistic
    1.34
    Logistic
    1.29
    logistic
    1.20
     logistique
    0.68
     sigmoid
    0.63
     logística
    0.60
    sigmoid
    0.60
    logits
    0.59
     logis
    0.58
    Activations Density 0.018%

    No Known Activations