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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8108
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    statistical data related to demographics and health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.56
    ParallelGroup
    -0.56
     myſelf
    -0.55
    makeConstraints
    -0.53
     initComponents
    -0.53
    kuuta
    -0.53
    providedIn
    -0.50
     createSlice
    -0.47
    mbggenerated
    -0.46
     MaterialApp
    -0.46
    POSITIVE LOGITS
     average
    0.94
     Average
    0.85
    Average
    0.83
    average
    0.77
     Avg
    0.77
    平均
    0.75
     avg
    0.72
     AVERAGE
    0.69
     durchschnitt
    0.68
    Avg
    0.68
    Activations Density 0.450%

    No Known Activations