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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. 9645
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    references to snack foods, particularly savory and sweet varieties

    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
    logrus
    -0.40
    argout
    -0.37
    vaadin
    -0.35
    ати
    -0.35
    हरा
    -0.34
    aryen
    -0.34
    EntityManager
    -0.33
     Maria
    -0.33
     Einbau
    -0.33
     Geschle
    -0.33
    POSITIVE LOGITS
     snack
    1.03
     snacks
    0.96
     Snack
    0.95
    snack
    0.94
    Snack
    0.91
    Snacks
    0.90
     Snacks
    0.88
     candy
    0.87
     candies
    0.82
     popcorn
    0.80
    Activations Density 0.080%

    No Known Activations