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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13435
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    numeric identifiers or variables in the context of technical writing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    T
    -0.42
     Helden
    -0.41
     Vereine
    -0.40
     henkil
    -0.40
    queles
    -0.40
     galería
    -0.40
    S
    -0.38
    ริง
    -0.38
     Brüder
    -0.38
     Gebir
    -0.37
    POSITIVE LOGITS
    featureID
    0.71
    JP
    0.66
    aaS
    0.65
    хьтан
    0.64
    JPY
    0.63
    ESA
    0.63
    NUMX
    0.63
    WP
    0.63
    AML
    0.62
    WC
    0.61
    Activations Density 2.336%

    No Known Activations