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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 253
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    Explanations

    terms related to military vehicles and weaponry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fuite
    -0.43
     dagger
    -0.40
     UITableView
    -0.36
     polizia
    -0.35
     militaires
    -0.35
     camicia
    -0.34
    Tension
    -0.34
     Bucks
    -0.34
     poliéster
    -0.34
     militaire
    -0.34
    POSITIVE LOGITS
     mortars
    0.79
     mortar
    0.72
     battery
    0.71
     artillery
    0.69
     batteries
    0.68
     cannon
    0.68
     <>",
    0.67
     shells
    0.66
    mortar
    0.65
    awtextra
    0.64
    Activations Density 0.347%

    No Known Activations