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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10277
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    references to specific types of sharks and their behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     nakalista
    -0.82
     EconPapers
    -0.73
    InitVars
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    majánló
    -0.65
    RegressionTest
    -0.65
     kaarangay
    -0.62
     Administrativna
    -0.60
     ब्रेकडाउन
    -0.59
    AntiForgeryToken
    -0.59
    оргаш
    -0.58
    POSITIVE LOGITS
     elephant
    0.39
     Elephant
    0.37
     bear
    0.37
     whales
    0.34
    bear
    0.34
     elephants
    0.33
     gezien
    0.32
     whale
    0.32
    Elephant
    0.32
     Elephants
    0.31
    Activations Density 0.121%

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