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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 4586
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    references to vehicle recalls and associated problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EndContext
    -0.50
    jsii
    -0.49
    parsedMessage
    -0.48
    MLLoader
    -0.48
     ModelExpression
    -0.47
    SBATCH
    -0.47
     surla
    -0.45
     vision
    -0.44
    FlatAppearance
    -0.43
    awtextra
    -0.42
    POSITIVE LOGITS
     recalled
    0.46
     للمعارف
    0.45
     affected
    0.45
     impacted
    0.42
     Affected
    0.41
    出版年
    0.41
    Affected
    0.40
     recalling
    0.40
    Recall
    0.39
     recalls
    0.39
    Activations Density 0.490%

    No Known Activations