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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 470
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    Explanations

    certain structural elements commonly found in academic papers and technical documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     /\.(
    -0.49
    endmodule
    -0.45
    getDoctrine
    -0.42
     onPostExecute
    -0.41
     createSlice
    -0.41
     shocking
    -0.41
    rophoresis
    -0.39
    CIOS
    -0.39
    צלחה
    -0.39
     culti
    -0.38
    POSITIVE LOGITS
    Title
    1.15
     Title
    0.92
     title
    0.76
    Título
    0.71
     TITLE
    0.71
    TITLE
    0.70
    title
    0.69
    UnusedPrivate
    0.66
     titles
    0.66
     Titles
    0.64
    Activations Density 0.076%

    No Known Activations