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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 35385
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    Explanations

    references to leather materials

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

    leather goods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Captor
    -0.50
     spesa
    -0.48
    ArgumentParser
    -0.45
    帖最后由
    -0.43
     vicenda
    -0.43
     affitto
    -0.43
     jurídico
    -0.43
     ProtoMessage
    -0.41
    trex
    -0.37
     difesa
    -0.37
    POSITIVE LOGITS
    Leather
    0.77
     Leather
    0.73
     leather
    0.64
    leather
    0.59
     Leder
    0.51
    tanleria
    0.48
     革
    0.48
     cuero
    0.47
    Guitar
    0.46
    革
    0.45
    Activations Density 0.002%

    No Known Activations