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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6500
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    Explanations

    quantitative values and numerical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ″
    -0.56
    0
    -0.54
    Derbyniad
    -0.54
    SharedCtor
    -0.53
    rd
    -0.52
    SharedDtor
    -0.51
    kg
    -0.51
    nd
    -0.48
    ️⃣
    -0.48
    ⃣
    -0.47
    POSITIVE LOGITS
     hundred
    0.70
    tieth
    0.58
    hundred
    0.57
     thousand
    0.56
     Eight
    0.48
    teenth
    0.47
    Eight
    0.47
    undred
    0.47
     Hundred
    0.47
     Six
    0.46
    Activations Density 0.482%

    No Known Activations