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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4399
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    terms related to metabolism and metabolic disorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Autoritní
    -0.33
     gases
    -0.33
     Gases
    -0.33
    eraard
    -0.33
     Schild
    -0.32
     öffnungszeiten
    -0.31
     Sarmiento
    -0.31
     Braunschweig
    -0.31
     oils
    -0.30
     specialization
    -0.30
    POSITIVE LOGITS
    Tre
    1.33
     Tre
    1.23
     tre
    1.18
    Gram
    1.10
     grammar
    1.10
     Gram
    1.09
     gram
    1.08
     Grammar
    1.07
    tre
    1.04
    grammar
    1.03
    Activations Density 1.264%

    No Known Activations