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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. 37648
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    INDEX
    Explanations

    words related to wear and durability

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

    wear and its contexts

    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
     domino
    -0.52
     Simons
    -0.50
    dtd
    -0.49
     Amon
    -0.47
     Domino
    -0.47
     StringTokenizer
    -0.46
    dix
    -0.45
     Maxine
    -0.45
    onOptions
    -0.45
     poto
    -0.44
    POSITIVE LOGITS
     Wear
    2.34
    Wear
    2.27
    wear
    2.27
     wear
    2.19
     WEAR
    2.05
    WEAR
    1.85
     wears
    1.47
     wore
    1.22
     wearable
    1.16
     wearer
    1.11
    Activations Density 0.003%

    No Known Activations