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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2872
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    INDEX
    Explanations

    mentions of snow and related conditions

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

    associated with snow or ice

    np_acts-logits-general · gemini-2.0-flash

    snow and ice

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sept
    -0.52
    ModelSerializer
    -0.50
    afficheront
    -0.48
     tatouage
    -0.48
    RegressionTest
    -0.47
    ectoria
    -0.45
    addCriterion
    -0.45
     AssemblyCompany
    -0.45
     Sep
    -0.44
    出版年
    -0.43
    POSITIVE LOGITS
     snow
    1.70
    Snow
    1.47
     frozen
    1.47
     Snow
    1.45
     ice
    1.42
    snow
    1.41
     freezing
    1.39
     snowy
    1.38
     SNOW
    1.36
     snowfall
    1.31
    Activations Density 0.412%

    No Known Activations