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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. 553
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    Explanations

    specific herbs or ingredients commonly associated with traditional medicinal practices

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

    Plant names (often scientific)

    np_acts-logits-general · gemini-2.0-flash

    ginger, mint, bamboo

    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
    存于互联网档案馆
    -0.46
    vlád
    -0.44
    équilibre
    -0.43
     Wikiseite
    -0.43
     conocía
    -0.42
     løs
    -0.42
     peintures
    -0.41
    twimg
    -0.39
     concorso
    -0.39
     vær
    -0.38
    POSITIVE LOGITS
    Bamboo
    0.97
     bamboo
    0.94
     Bamboo
    0.91
    bamboo
    0.78
     bambú
    0.77
     Mint
    0.68
     bambu
    0.68
     bambou
    0.67
     bamb
    0.64
     mint
    0.63
    Activations Density 0.269%

    No Known Activations