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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95456
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    INDEX
    Explanations

    phrases related to earning or acquiring something, particularly in a personal or professional context

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

    earn something with possessives

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fotográfico
    -0.35
    CppMethod
    -0.35
     photo
    -0.33
     dis
    -0.33
     fotos
    -0.32
     dispo
    -0.31
     createSlice
    -0.31
    (")");
    -0.31
     financiación
    -0.31
     stuff
    -0.31
    POSITIVE LOGITS
     earned
    1.21
    earned
    1.20
     Earned
    1.15
    Earn
    1.10
     earn
    1.02
     earns
    0.99
     earning
    0.96
    earn
    0.93
    earning
    0.92
     Earn
    0.90
    Activations Density 0.018%

    No Known Activations