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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. 11337
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    Explanations

    specific vehicle features related to off-road capability and versatility

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

    Off-road vehicles and driving conditions

    np_acts-logits-general · gemini-2.0-flash

    Jeep, mud conditions, off-road vehicles

    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
    merksam
    -0.39
    DebuggerStep
    -0.39
    menuStrip
    -0.39
    piecze
    -0.38
     ThemeData
    -0.37
     semn
    -0.36
     burbujas
    -0.35
    bitField
    -0.35
     Philharmonic
    -0.35
     acept
    -0.34
    POSITIVE LOGITS
     jeep
    0.69
     Jeep
    0.66
     mud
    0.63
     bronco
    0.57
     Mudd
    0.57
    Jeep
    0.55
     muddy
    0.54
     wrangler
    0.54
     MUD
    0.53
     dirt
    0.53
    Activations Density 0.232%

    No Known Activations