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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15549
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    phrases related to product effectiveness and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    AutoScaleMode
    -0.55
     tartalomajánló
    -0.48
     depre
    -0.48
    uaire
    -0.47
    脚注の使い方
    -0.47
    errHandler
    -0.45
     estimés
    -0.43
     envis
    -0.43
     springfox
    -0.43
    Pautan
    -0.42
    POSITIVE LOGITS
     formula
    0.91
     formulation
    0.88
     formulated
    0.78
    formula
    0.78
     formulas
    0.77
     fórmula
    0.77
     formulations
    0.74
    Formula
    0.73
     Formula
    0.72
     formulating
    0.71
    Activations Density 0.230%

    No Known Activations