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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 2956
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    Explanations

    references to rear and front features of vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -0.98
    ThroughAttribute
    -0.89
    djangoproject
    -0.86
    MigrationBuilder
    -0.82
    MessageTagHelper
    -0.69
     idéia
    -0.68
    ingway
    -0.68
     defaultstate
    -0.66
    Instruments
    -0.65
    TabIndex
    -0.65
    POSITIVE LOGITS
     rear
    2.17
     Rear
    1.92
    rear
    1.84
    Rear
    1.82
     REAR
    1.67
     rearing
    0.99
     traseira
    0.89
     задний
    0.86
     posteriore
    0.82
     reared
    0.81
    Activations Density 0.081%

    No Known Activations