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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 7352
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    Explanations

    terms related to normalization and standardization processes in data analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GetEnumerator
    -0.53
     nakalista
    -0.47
    рид
    -0.47
    hasMoreElements
    -0.46
     consultato
    -0.46
     发表于
    -0.46
    StructField
    -0.45
    multicolumn
    -0.44
     forState
    -0.44
    집
    -0.44
    POSITIVE LOGITS
     normalized
    0.64
    normalize
    0.64
    Normalized
    0.63
     normalize
    0.61
    SharedCtor
    0.61
    Jeografia
    0.60
    ]--;
    0.60
    asgi
    0.60
    ISupport
    0.60
     Normalize
    0.59
    Activations Density 0.659%

    No Known Activations