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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. 7574
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    keywords related to integrity and rail transportation

    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
    transQ
    -0.48
     disaster
    -0.42
    addEventListener
    -0.42
     Peyton
    -0.42
     zum
    -0.42
     Beim
    -0.41
     vacation
    -0.41
     air
    -0.40
     geographic
    -0.40
     emergency
    -0.39
    POSITIVE LOGITS
    sizeCache
    0.61
    integrity
    0.60
     Rail
    0.60
    ]=>
    0.59
     Integrity
    0.58
     integridad
    0.57
     Савезне
    0.56
     rail
    0.55
     integrity
    0.55
    ErrUnexpectedEOF
    0.55
    Activations Density 0.151%

    No Known Activations