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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11047
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    Explanations

    references to transport mechanisms in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arşivlendi
    -0.60
     ""],
    -0.60
    didReceive
    -0.58
     Infórmanos
    -0.57
    ArgsConstructor
    -0.56
    rungsseite
    -0.55
    ModelAdmin
    -0.54
     tartalomajánló
    -0.54
    AsUp
    -0.54
     Waray
    -0.53
    POSITIVE LOGITS
     transport
    0.85
    Transport
    0.67
     Transport
    0.64
    transport
    0.60
    Segment
    0.54
     oxide
    0.53
     transfer
    0.50
     transporte
    0.46
     TRANSPORT
    0.46
    Radius
    0.45
    Activations Density 0.175%

    No Known Activations