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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. 6685
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    terms related to metabolic processes and conditions

    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
     kaynağından
    -0.48
    isContained
    -0.43
    Cyfeiriadau
    -0.41
    DataSnapshot
    -0.40
    INCREF
    -0.39
    adaptiveStyles
    -0.38
    appré
    -0.38
    stęp
    -0.36
     COLOUR
    -0.36
     ME
    -0.36
    POSITIVE LOGITS
     Met
    2.50
    Met
    2.47
     MET
    2.30
    MET
    2.19
    met
    2.19
     met
    2.19
     Metropolitan
    1.98
    Metropolitan
    1.87
     METRO
    1.84
     metro
    1.80
    Activations Density 1.262%

    No Known Activations