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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. 10229
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    Explanations

    references to military veterans and incidents involving crashes

    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
    WireFormatLite
    -0.54
     oslo
    -0.47
    StructEnd
    -0.47
     '\\;'
    -0.46
    </tfoot>
    -0.46
    ❷
    -0.46
    catraz
    -0.45
     跳转至
    -0.45
    ########.
    -0.44
     numberOfRows
    -0.44
    POSITIVE LOGITS
     veteran
    0.75
     tune
    0.70
     variant
    0.69
     tone
    0.67
    variant
    0.64
     Variant
    0.63
     veterans
    0.63
     crashed
    0.62
    Veteran
    0.60
     variants
    0.60
    Activations Density 0.172%

    No Known Activations