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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10166
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    Explanations

    quantitative chemical measurements and concentrations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModelSerializer
    -0.38
    parsedMessage
    -0.38
     ✭✭
    -0.37
     aksesuar
    -0.35
    sdag
    -0.35
    ähteet
    -0.35
     küpe
    -0.34
     AssemblyCulture
    -0.34
     bileklik
    -0.33
    SerializedName
    -0.33
    POSITIVE LOGITS
     mole
    1.46
     moles
    1.41
     mol
    1.38
     Mole
    1.27
    mole
    1.23
     Moles
    1.19
     molar
    1.19
    moles
    1.13
    mol
    1.13
    Mole
    1.12
    Activations Density 0.473%

    No Known Activations