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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1648
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    terms related to vehicles and motors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.82
     linkovi
    -0.78
     betweenstory
    -0.68
    parsedMessage
    -0.61
    ⟬
    -0.60
     autorytatywna
    -0.56
    HasForeignKey
    -0.54
    parency
    -0.54
     Kampagne
    -0.53
     étoit
    -0.53
    POSITIVE LOGITS
     Motor
    0.60
     motor
    0.54
    Motor
    0.50
    motor
    0.48
     MOTOR
    0.48
     moto
    0.46
    cycling
    0.42
     Moto
    0.40
    home
    0.38
     Mot
    0.38
    Activations Density 0.140%

    No Known Activations