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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 14-GEMMASCOPE-RES-16K
    6. 7243
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    Explanations

    references to eating and food consumption

    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
     $_[
    -0.57
    ValueStyle
    -0.54
    Cyfarwyddwr
    -0.54
    DispatchToProps
    -0.53
     $_(
    -0.52
     ModelExpression
    -0.52
    formKey
    -0.52
     initComponents
    -0.51
    uties
    -0.51
     Asser
    -0.50
    POSITIVE LOGITS
    Eating
    1.19
    Eat
    1.13
     eating
    1.13
     Eating
    1.11
     eat
    1.09
     Eat
    1.09
     eaten
    1.08
    eat
    0.93
    eating
    0.93
     EAT
    0.92
    Activations Density 0.084%

    No Known Activations