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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11479
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    Explanations

    references to lakes and water-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ScopeManager
    -0.46
    LookAnd
    -0.43
    qrstuvwxyz
    -0.43
    CodeAttribute
    -0.42
    ViewFeatures
    -0.41
    .*")]
    -0.39
    Externé
    -0.38
    туга
    -0.38
    TagMode
    -0.37
    SequentialGroup
    -0.36
    POSITIVE LOGITS
     lake
    2.36
     Lake
    2.20
    Lake
    2.05
     lakes
    1.98
    lake
    1.89
     LAKE
    1.74
    LAKE
    1.65
    湖
    1.65
    lakes
    1.60
     Lakes
    1.59
    Activations Density 0.239%

    No Known Activations