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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 81706
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    Explanations

    details related to vehicles and their descriptions in the context of incidents

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

    vehicles and car brands

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Kjelder
    -0.54
    UnusedPrivate
    -0.54
     createState
    -0.52
    ſelben
    -0.49
     Oilers
    -0.48
     STAN
    -0.48
    arangay
    -0.47
     Nuclear
    -0.47
     Obrador
    -0.47
    ustain
    -0.46
    POSITIVE LOGITS
     obě
    0.38
    ImageContext
    0.36
    Җ
    0.34
     automóvil
    0.33
     maș
    0.33
    دانشنامهٔ
    0.32
     cars
    0.32
     bestaande
    0.32
     vehicles
    0.31
     automóviles
    0.31
    Activations Density 0.022%

    No Known Activations