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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7031
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    Explanations

    references to "rear" and related components in vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MigrationBuilder
    -0.81
     TType
    -0.71
     invitamos
    -0.71
    djangoproject
    -0.70
    ThroughAttribute
    -0.70
    complexContent
    -0.70
     ویکی‌پدی
    -0.69
    InputTagHelper
    -0.63
    Instruments
    -0.62
    GeneratedMessage
    -0.61
    POSITIVE LOGITS
     rear
    2.90
     Rear
    2.62
    rear
    2.56
    Rear
    2.52
     REAR
    2.33
     arrière
    1.28
     trasera
    1.27
    arrière
    1.25
     задний
    1.25
     traseira
    1.20
    Activations Density 0.050%

    No Known Activations