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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9489
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    Explanations

    references to leather and its various applications or features

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

    "leather" or related materials

    np_acts-logits-general · gemini-2.0-flash

    leather trim straps

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     AssemblyTitle
    -0.46
     Fav
    -0.43
    astéroïdes
    -0.41
    Fav
    -0.41
    blockList
    -0.41
     milho
    -0.40
     humming
    -0.39
    WriteByte
    -0.39
     MenuView
    -0.38
     cucchiaio
    -0.38
    POSITIVE LOGITS
     leather
    1.51
     Leather
    1.46
    Leather
    1.44
    leather
    1.39
     cuero
    1.09
     cuir
    1.02
     چرم
    1.01
     couro
    0.98
    レザー
    0.93
     Leder
    0.86
    Activations Density 0.238%

    No Known Activations