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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8726
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    Explanations

    references to snow and ice conditions

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

    Referring to snow and 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 @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.50
    webElementGuid
    -0.49
     Rain
    -0.47
    ViewImports
    -0.46
     Damp
    -0.46
    exitRule
    -0.45
    monials
    -0.45
    HtmlAttribute
    -0.44
    ArgsConstructor
    -0.43
     nakalista
    -0.43
    POSITIVE LOGITS
     ice
    1.41
     snow
    1.35
     Ice
    1.16
    snow
    1.13
    Ice
    1.09
     SNOW
    1.04
     hielo
    1.03
    Snow
    1.01
     melting
    0.99
     Snow
    0.99
    Activations Density 0.196%

    No Known Activations