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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. 34966
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    Explanations

    mentions of bodies of water, specifically lakes and rivers

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

    bodies of water and boating

    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
    richTextPanel
    -0.66
     <>",
    -0.58
     hObject
    -0.57
    GOTREF
    -0.57
    хьтан
    -0.56
     ddelweddau
    -0.53
    IVEREF
    -0.52
    ंदीखरीदारी
    -0.52
    ineno
    -0.52
    новништво
    -0.52
    POSITIVE LOGITS
     boating
    0.45
     boats
    0.44
     waters
    0.41
     naveg
    0.38
     boat
    0.38
    front
    0.38
     bateaux
    0.38
    boats
    0.37
    side
    0.37
    Boats
    0.37
    Activations Density 0.027%

    No Known Activations