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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 13564
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    Explanations

    references to lakes or bodies of water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    djangoproject
    -0.43
    openzeppelin
    -0.42
     Falco
    -0.40
    __.__
    -0.40
     errMsg
    -0.40
    ostringstream
    -0.39
     հղումներ
    -0.39
    XICO
    -0.38
    ByDefault
    -0.37
    pip
    -0.37
    POSITIVE LOGITS
    Lake
    1.06
     Lake
    1.06
     lake
    0.96
    lake
    0.89
     Lakes
    0.86
     lakes
    0.86
    LAKE
    0.85
     Wisconsin
    0.85
     LAKE
    0.84
     Michigan
    0.82
    Activations Density 0.425%

    No Known Activations