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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12816
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    INDEX
    Explanations

    references to specific geographical locations or landmarks

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

    before "River", "Bank", "Mountains", or similar geographical terms

    np_acts-logits-general · gemini-2.0-flash

    river banks and mountains

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    arangay
    -0.57
     Numerade
    -0.56
     sereia
    -0.56
     ModelExpression
    -0.55
    hysema
    -0.53
     comerciais
    -0.50
    InitVars
    -0.50
    AnchorTagHelper
    -0.50
     käs
    -0.50
    ſammen
    -0.48
    POSITIVE LOGITS
    
    0.63
     intptr
    0.53
    setVerticalGroup
    0.45
    Xna
    0.38
     django
    0.36
    ".$
    0.36
     Heart
    0.35
     BoxFit
    0.35
     нака
    0.35
     bau
    0.33
    Activations Density 0.464%

    No Known Activations