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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. 19858
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    Explanations

    phrases related to financial expenditure and wastefulness

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

    spend on

    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
    Personendaten
    -0.69
     Taktlose
    -0.61
     InputDecoration
    -0.58
     الرياضيه
    -0.57
    AnchorStyles
    -0.57
    parsedMessage
    -0.54
    
    -0.54
    addContainerGap
    -0.54
    extAlignment
    -0.53
    #+#
    -0.52
    POSITIVE LOGITS
     spent
    0.83
     spending
    0.82
     spend
    0.78
     spends
    0.73
     Spending
    0.72
     Spent
    0.71
     expenditure
    0.70
    Spending
    0.68
    spent
    0.67
    Spent
    0.67
    Activations Density 0.069%

    No Known Activations