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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 7085
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    Explanations

    references to beer and alcoholic beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.81
    tagHelperRunner
    -0.81
    <unused52>
    -0.78
    Personendaten
    -0.78
    <unused14>
    -0.78
    <unused16>
    -0.77
    <unused51>
    -0.77
    <unused8>
    -0.77
    <unused79>
    -0.77
    <unused3>
    -0.77
    POSITIVE LOGITS
    Letter
    0.47
     Beer
    0.46
     intense
    0.45
    .
    0.42
     undoubtedly
    0.42
    Beer
    0.40
     prosperity
    0.39
    </
    0.38
    .-
    0.38
    -
    0.38
    Activations Density 0.247%

    No Known Activations