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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6750
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    elements of academic references and citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     kasarigan
    -0.51
    igrette
    -0.48
     onView
    -0.47
    itaires
    -0.47
     endwhile
    -0.46
    tvguidetime
    -0.44
    saraba
    -0.44
    ⓧ
    -0.43
    __":
    -0.43
    ataires
    -0.43
    POSITIVE LOGITS
    LookAnd
    0.47
    MigrationBuilder
    0.40
    InjectAttribute
    0.40
     Numerade
    0.37
     disambiguazione
    0.36
     propOrder
    0.35
    uxxxx
    0.35
    tonode
    0.32
    Precalculus
    0.32
     negozi
    0.31
    Activations Density 0.122%

    No Known Activations