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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5801
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    Explanations

    mentions of lakes and associated geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .*")]
    -0.53
     Normdatei
    -0.49
    AndEndTag
    -0.44
    RunWith
    -0.40
    туга
    -0.40
    CodeAttribute
    -0.40
    complexContent
    -0.40
    ScopeManager
    -0.39
     المعيارى
    -0.39
    InstrumentedTest
    -0.38
    POSITIVE LOGITS
     lake
    2.38
     Lake
    2.28
    Lake
    2.13
    lake
    1.95
     lakes
    1.89
     LAKE
    1.76
    湖
    1.74
    LAKE
    1.69
     Lakes
    1.61
    Lakes
    1.52
    Activations Density 0.266%

    No Known Activations