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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 61258
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    Explanations

    phrases related to high-value or rare items, particularly in the context of American muscle cars

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

    rarity and scarcity

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tartalomajánló
    -0.63
    脚注の使い方
    -0.52
    IContainer
    -0.47
    ThroughAttribute
    -0.43
     autorytatywna
    -0.42
    contentLoaded
    -0.41
    setVerticalGroup
    -0.41
    énage
    -0.40
    MigrationBuilder
    -0.40
    TagMode
    -0.39
    POSITIVE LOGITS
     rarest
    0.69
     rarer
    0.61
     rare
    0.57
     rarity
    0.49
     rares
    0.47
     scarce
    0.46
     RARE
    0.44
    Rare
    0.44
     expensive
    0.43
    hoeddwyd
    0.43
    Activations Density 0.039%

    No Known Activations