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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 3629
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    references to military service members or veterans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBOutlet
    -0.62
    RenderAtEndOf
    -0.57
    InjectAttribute
    -0.52
    parsedMessage
    -0.52
    ReusableCell
    -0.50
    دانشنامهٔ
    -0.50
     typelib
    -0.49
    synthesize
    -0.48
    awtextra
    -0.48
     مرئيه
    -0.48
    POSITIVE LOGITS
    Veteran
    0.59
     vet
    0.59
     veteran
    0.56
     Euro
    0.55
    Euro
    0.54
     Veteran
    0.54
     vets
    0.52
     VETER
    0.51
     protocols
    0.50
    EXPECT
    0.48
    Activations Density 0.246%

    No Known Activations