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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. 87140
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    Explanations

    phrases related to weather conditions and their impacts

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

    wet weather conditions

    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
    yntaxException
    -0.61
    ⓧ
    -0.58
     snows
    -0.57
    SequentialGroup
    -0.57
    fjspx
    -0.55
     snowfall
    -0.51
    Hentet
    -0.49
    orsese
    -0.48
     snowing
    -0.47
     виправивши
    -0.47
    POSITIVE LOGITS
     wet
    1.04
     Wet
    0.90
     umbrella
    0.82
    Wet
    0.82
     raincoat
    0.82
     waterproof
    0.81
    wet
    0.79
    濡
    0.78
     drenched
    0.77
    ☔
    0.75
    Activations Density 0.011%

    No Known Activations