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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1153
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    specific Volkswagen vehicle models and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    锈钢
    -0.44
     Baillargeon
    -0.43
    AccessorTable
    -0.43
    ʖ
    -0.40
     Flasche
    -0.40
    thora
    -0.40
    Marina
    -0.39
    spedes
    -0.39
     vixion
    -0.39
    Pah
    -0.38
    POSITIVE LOGITS
     van
    1.02
     VAN
    0.87
     Van
    0.87
    van
    0.86
    Van
    0.83
     vans
    0.81
    VAN
    0.77
     minibus
    0.68
    vans
    0.67
     minivan
    0.66
    Activations Density 0.194%

    No Known Activations