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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. 35882
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    Explanations

    references to airport infrastructure and logistics

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

    runway landing

    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
    漿
    -0.43
    futter
    -0.42
    kammer
    -0.41
    ETTE
    -0.40
    Lage
    -0.39
     Suspension
    -0.39
     Kela
    -0.38
    iance
    -0.38
    venuto
    -0.38
    nik
    -0.37
    POSITIVE LOGITS
     runway
    1.34
     runways
    1.13
     Runway
    1.04
     tarmac
    0.73
     betweenstory
    0.70
     catwalk
    0.69
     airfield
    0.66
     pista
    0.65
     surla
    0.65
     piste
    0.64
    Activations Density 0.019%

    No Known Activations