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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2410
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    Explanations

    terms related to standardization and normalization in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.60
    ModelAdmin
    -0.50
    getStringExtra
    -0.48
     Photocase
    -0.47
    WebVitals
    -0.46
     eventName
    -0.45
    __((
    -0.44
    GHIJKLM
    -0.44
    ApiModelProperty
    -0.43
    keyColumn
    -0.43
    POSITIVE LOGITS
     standardized
    1.71
     standardize
    1.59
     generalized
    1.58
     privatization
    1.53
     Standardized
    1.52
     standardization
    1.52
     modernized
    1.50
     localized
    1.48
    ized
    1.46
     personalized
    1.46
    Activations Density 0.341%

    No Known Activations