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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 10935
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    Explanations

    references to knives or sharp objects in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    getJSONArray
    -0.46
    OGND
    -0.40
    IsMutable
    -0.40
    jspb
    -0.37
    RefreshLayout
    -0.36
    indd
    -0.36
     rospy
    -0.36
     Bullock
    -0.35
    WarningLevel
    -0.35
    asteroide
    -0.34
    POSITIVE LOGITS
     blade
    1.27
     knife
    1.23
     knives
    1.20
     blades
    1.15
     Knife
    1.04
     Blade
    1.01
     Knives
    0.99
     sharpening
    0.97
    blade
    0.96
    Blade
    0.95
    Activations Density 0.247%

    No Known Activations