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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. 81420
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    INDEX
    Explanations

    references to rain and snowfall

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

    raining and weather events

    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
    ckså
    -0.49
     Pál
    -0.48
     besos
    -0.45
    łka
    -0.44
    øk
    -0.43
     domani
    -0.43
    Enlaces
    -0.42
     deber
    -0.42
     plazas
    -0.41
    Đối
    -0.41
    POSITIVE LOGITS
     raining
    1.23
     rained
    1.01
     snowing
    0.90
     rains
    0.85
     Rains
    0.72
    raining
    0.72
     rainy
    0.65
    rains
    0.65
    rained
    0.60
    rainy
    0.60
    Activations Density 0.005%

    No Known Activations