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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2181
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    Explanations

    references to dairy products and their consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pfe
    -0.45
     Mortimer
    -0.44
     Barbour
    -0.43
    ωνα
    -0.42
     Moran
    -0.41
     Saul
    -0.40
     Parke
    -0.40
     Maul
    -0.40
     Jonathan
    -0.40
     Marr
    -0.40
    POSITIVE LOGITS
     milk
    1.14
     Milk
    1.12
    Milk
    1.09
    milk
    1.09
     dairy
    1.09
     MILK
    1.03
     Dairy
    1.02
     cheese
    0.96
    Dairy
    0.96
    dairy
    0.96
    Activations Density 0.722%

    No Known Activations