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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11059
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    Explanations

    references to food types and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addCriterion
    -0.75
    recated
    -0.69
    AndEndTag
    -0.58
     Italijani
    -0.55
     gethan
    -0.54
    fromnode
    -0.54
     unknownFields
    -0.53
     firebaseConfig
    -0.50
     whiskey
    -0.49
    Bronnen
    -0.49
    POSITIVE LOGITS
     grab
    0.67
     emporter
    0.63
     takeaway
    0.62
     sandwiches
    0.60
     Grab
    0.59
     sandwich
    0.58
     lunch
    0.57
    Grab
    0.57
     carry
    0.54
     Sandwich
    0.54
    Activations Density 0.139%

    No Known Activations