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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 87704
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    INDEX
    Explanations

    terms related to weather phenomena or atmospheric conditions

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

    storms and atmospheric phenomena

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    сылкі
    -0.51
    SQLiteDatabase
    -0.44
    setContentView
    -0.43
    ContextCompat
    -0.41
    İstinadlar
    -0.41
    losseum
    -0.40
    WritableDatabase
    -0.40
    antMatchers
    -0.39
    IndentedString
    -0.39
     Orrell
    -0.38
    POSITIVE LOGITS
     storm
    0.64
     storms
    0.59
     depression
    0.54
     tormenta
    0.50
     fronts
    0.50
     cyclone
    0.47
    ftagPool
    0.47
     cyclones
    0.47
     bibit
    0.46
    StoryboardSegue
    0.46
    Activations Density 0.019%

    No Known Activations