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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6653
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    Explanations

    references to cheese and related food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surla
    -0.92
     <<<<<<<<<<<<<<
    -0.79
    الحياه
    -0.77
    ConstraintMaker
    -0.74
    MigrationBuilder
    -0.73
    SharedCtor
    -0.71
    IndentedString
    -0.69
     disambiguazione
    -0.69
    OGND
    -0.65
    featureID
    -0.64
    POSITIVE LOGITS
    Parameter
    0.66
     cheese
    0.66
     Cheese
    0.55
     logo
    0.51
    cheese
    0.48
     repo
    0.47
     parameter
    0.47
    getString
    0.46
    Cheese
    0.43
     reun
    0.43
    Activations Density 1.086%

    No Known Activations