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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. 43270
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    INDEX
    Explanations

    references to various types of costs

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

    costs incurred

    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
     sereia
    -0.56
     toalha
    -0.52
    WebServlet
    -0.51
     câmera
    -0.49
    gemä
    -0.48
     galinha
    -0.48
     qualunque
    -0.47
     montagem
    -0.47
     proper
    -0.47
     ObjectMapper
    -0.47
    POSITIVE LOGITS
     costs
    1.91
     Costs
    1.78
    costs
    1.77
    Costs
    1.71
     cost
    1.55
     COSTS
    1.55
    cost
    1.45
    Cost
    1.41
    COST
    1.38
     coûts
    1.36
    Activations Density 0.012%

    No Known Activations