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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8128
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    Explanations

    references to learning and teaching skills, particularly sewing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Learned," "learn," or "learns" followed by an infinitive

    np_acts-logits-general · gemini-2.0-flash

    learned skills and knowledge

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    modelBuilder
    -0.46
    IBOutlet
    -0.45
    IBarButtonItem
    -0.43
    MigrationBuilder
    -0.42
     adren
    -0.41
    RepeatedField
    -0.41
    ubble
    -0.41
     obf
    -0.40
    Zitat
    -0.40
    routeProvider
    -0.39
    POSITIVE LOGITS
     how
    0.74
     tricks
    0.72
     skills
    0.66
     keterampilan
    0.66
     lessons
    0.63
     learn
    0.62
     trucos
    0.62
     learned
    0.62
     Técnicas
    0.60
     كيفية
    0.59
    Activations Density 0.196%

    No Known Activations