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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 6323
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    Explanations

    concepts related to efficiency and effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rub
    -0.47
     annat
    -0.46
     another
    -0.45
     other
    -0.44
     card
    -0.43
     cards
    -0.42
     given
    -0.42
     Bartol
    -0.42
    -
    -0.42
     Rosenberg
    -0.41
    POSITIVE LOGITS
     Efficiency
    1.41
     efficiency
    1.41
    Efficiency
    1.38
    efficiency
    1.34
     Efficient
    1.31
    Efficient
    1.31
     efficient
    1.29
    efficient
    1.27
     efficiencies
    1.21
     EFFICIENCY
    1.20
    Activations Density 0.067%

    No Known Activations