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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7640
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    Explanations

    references to bodies of water and wetlands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/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.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UserScript
    -0.47
     justifyContent
    -0.46
     CYTHON
    -0.45
    afficheront
    -0.44
     estekak
    -0.44
    StructEnd
    -0.44
    rocco
    -0.44
    zzleHttp
    -0.43
    Населення
    -0.43
    InjectAttribute
    -0.42
    POSITIVE LOGITS
     pond
    0.75
     ponds
    0.73
     lakes
    0.69
     waterways
    0.69
     lake
    0.69
     waterway
    0.68
     river
    0.67
     water
    0.65
     rivers
    0.65
     waters
    0.62
    Activations Density 0.257%

    No Known Activations