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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. 4556
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    Explanations

    materials and their properties used in various contexts

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

    Materials like leather, cotton, brass, or fiberglass

    np_acts-logits-general · gemini-2.0-flash

    materials

    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
     AssemblyCulture
    -0.42
    __(/*!
    -0.42
     Weeknd
    -0.40
     unggul
    -0.39
    áš
    -0.39
     święta
    -0.39
    sphase
    -0.39
    ayo
    -0.38
     salonu
    -0.37
     titolata
    -0.36
    POSITIVE LOGITS
     cotton
    0.88
     Cotton
    0.84
     rubber
    0.84
     leather
    0.83
    Cotton
    0.81
    cotton
    0.79
     Rubber
    0.76
     COTTON
    0.74
     bronze
    0.74
     steel
    0.73
    Activations Density 0.428%

    No Known Activations