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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 4651
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    indest
    -0.52
    newly
    -0.46
    Hochspringen
    -0.46
     seguimos
    -0.45
     exuberant
    -0.44
     unspeakable
    -0.43
     ustedes
    -0.43
     revisited
    -0.42
     gleaned
    -0.42
     reaff
    -0.41
    POSITIVE LOGITS
     autorytatywna
    0.62
    rungsseite
    0.56
     personen
    0.52
     мәкал
    0.50
     Италијани
    0.50
     indivíduo
    0.49
    ########.
    0.48
     ſind
    0.47
     salomon
    0.47
     ought
    0.47
    Activations Density 0.768%

    No Known Activations