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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 5015
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    Explanations

    references to eating habits and consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     $_[
    -0.58
    Cyfarwyddwr
    -0.57
     Foil
    -0.57
     للمعارف
    -0.57
     BaseModel
    -0.56
    endregion
    -0.56
     $_(
    -0.55
     Asser
    -0.55
     laſſen
    -0.53
     Blazers
    -0.53
    POSITIVE LOGITS
    Eating
    1.20
    Eat
    1.17
     eating
    1.15
     eat
    1.15
     Eating
    1.12
     Eat
    1.11
     eaten
    1.06
    eat
    0.96
    eating
    0.96
     eats
    0.94
    Activations Density 0.133%

    No Known Activations