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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. 6884
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    Explanations

    mentions of lakes and their significance

    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
    :✨
    -1.00
    ########.
    -0.96
    <unused43>
    -0.91
    <unused42>
    -0.90
    <unused41>
    -0.90
    <pad>
    -0.90
    <unused74>
    -0.90
    <unused3>
    -0.90
    featureID
    -0.90
    <unused17>
    -0.89
    POSITIVE LOGITS
     Survey
    0.63
    Survey
    0.60
     Study
    0.53
    Study
    0.49
     Lake
    0.47
    ↵
    0.44
     survey
    0.44
    では
    0.43
    ence
    0.41
    Group
    0.41
    Activations Density 0.234%

    No Known Activations