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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12693
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    Explanations

    references to standardization in technical or regulatory contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.35
     izquierdo
    -0.32
     despacho
    -0.31
    InlineData
    -0.31
    nls
    -0.31
     boasting
    -0.30
     vastaan
    -0.29
     للاسماء
    -0.29
     MPP
    -0.28
     boast
    -0.28
    POSITIVE LOGITS
     standards
    0.88
     Standards
    0.84
    Standards
    0.79
     standardization
    0.77
    standards
    0.76
     standardi
    0.76
     guidelines
    0.73
     Standardization
    0.70
     standardised
    0.69
     standar
    0.69
    Activations Density 0.534%

    No Known Activations