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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 9298
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    mentions of specific details related to clothing and appearances in varying contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    <unused43>
    -0.80
    <unused42>
    -0.79
    <unused41>
    -0.79
     للمعارف
    -0.79
    <pad>
    -0.79
    <unused17>
    -0.79
    <unused20>
    -0.78
    <unused74>
    -0.78
    <unused23>
    -0.77
    <unused51>
    -0.77
    POSITIVE LOGITS
    ,"
    0.57
    !"
    0.53
    ,”
    0.53
    !”
    0.53
    ¶
    0.52
    !
    0.51
    ?"
    0.50
    ...
    0.50
    .”
    0.49
     […]
    0.48
    Activations Density 5.608%

    No Known Activations