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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 16103
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    instances of proper nouns or unique identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prägt
    -0.54
     vidrio
    -0.50
     esposo
    -0.49
     fallecido
    -0.47
    Бахар
    -0.47
     satisfecho
    -0.47
     delantero
    -0.46
     Perlu
    -0.46
     orejas
    -0.46
     enamorado
    -0.45
    POSITIVE LOGITS
    MLLoader
    0.57
     effe
    0.53
    IContainer
    0.50
     hap
    0.47
    Heb
    0.45
    hah
    0.44
    Lek
    0.44
     hé
    0.44
     snuff
    0.43
     Leuk
    0.42
    Activations Density 0.083%

    No Known Activations