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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 4246
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    Explanations

    references to eating and dietary habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyTitle
    -0.72
    Cyfarwyddwr
    -0.70
     محفوظة
    -0.70
    ValueStyle
    -0.68
     ModelExpression
    -0.65
    addCriterion
    -0.65
     للمعارف
    -0.64
     queſta
    -0.63
    DispatchToProps
    -0.63
     autorytatywna
    -0.63
    POSITIVE LOGITS
     eating
    1.33
    Eat
    1.30
     eat
    1.30
    Eating
    1.28
     Eat
    1.23
     Eating
    1.23
     eaten
    1.18
    eating
    1.09
    eat
    1.09
     eats
    1.07
    Activations Density 0.154%

    No Known Activations