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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. 4158
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    linguistic elements and characters from the Kannada language

    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
     autorytatywna
    -0.82
    TypedDataSet
    -0.73
    ViewImports
    -0.71
    tagHelperRunner
    -0.70
     EconPapers
    -0.68
    aarrggbb
    -0.67
    ьаж
    -0.64
    évaluateur
    -0.64
    SharedCtor
    -0.63
    setVerticalGroup
    -0.60
    POSITIVE LOGITS
     opty
    0.46
    cluye
    0.46
     parezca
    0.44
     recuer
    0.44
    ambién
    0.43
     pozy
    0.42
     övers
    0.42
     acuer
    0.42
     eccell
    0.42
     extraer
    0.42
    Activations Density 0.023%

    No Known Activations