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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15527
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    Explanations

    references to burning and chocolate

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/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.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ense
    -0.65
     lenker
    -0.62
     الرياضيه
    -0.57
     Ense
    -0.48
     Hashi
    -0.48
     Rocket
    -0.47
     "]";
    -0.47
    SequentialGroup
    -0.47
     gyhoeddwyd
    -0.47
     AppComponent
    -0.47
    POSITIVE LOGITS
     Burn
    0.82
    burn
    0.73
     burn
    0.72
    Burn
    0.69
     chocolate
    0.59
    л
    0.57
     BURN
    0.57
    chocolate
    0.57
     bend
    0.56
    BURN
    0.55
    Activations Density 0.343%

    No Known Activations