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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14859
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    INDEX
    Explanations

    terms related to military vehicles and their mechanics

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

    "Tank" or related military vehicle references

    np_acts-logits-general · gemini-2.0-flash

    armored vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IntoConstraints
    -0.59
    
    -0.54
     CreateTagHelper
    -0.52
     propOrder
    -0.52
    Życiorys
    -0.48
    Pyx
    -0.47
    PostInfinity
    -0.47
     OFDb
    -0.47
    PRWEB
    -0.47
     flights
    -0.46
    POSITIVE LOGITS
     tank
    0.92
     tanks
    0.82
    Tank
    0.70
     Tank
    0.70
    tank
    0.69
     Tanks
    0.69
    Tanks
    0.65
    tanks
    0.64
     tanques
    0.60
    坦克
    0.56
    Activations Density 0.057%

    No Known Activations