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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 73644
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    Explanations

    terms related to moisture and wetland environments

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

    moisture and wetness in environments

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AntiForgeryToken
    -0.60
    TypedDataSet
    -0.59
     DRY
    -0.58
    bukkit
    -0.58
    Dry
    -0.57
    himovic
    -0.55
     Dry
    -0.55
     dry
    -0.54
     Dried
    -0.54
    DRY
    -0.53
    POSITIVE LOGITS
     moist
    0.50
     Roskov
    0.47
     المعيارى
    0.40
     wet
    0.40
     damp
    0.39
     RAIN
    0.36
     rainy
    0.36
     esquerda
    0.35
     democrats
    0.35
     húmedo
    0.34
    Activations Density 0.164%

    No Known Activations