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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. 9600
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    Explanations

    quantitative descriptors or approximations of amounts

    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
     resourceCulture
    -0.58
    Personensuche
    -0.51
    GOTREF
    -0.48
    AndroidJUnit
    -0.47
    encodeWith
    -0.47
    <bos>
    -0.46
     AttributeSet
    -0.45
    Indented
    -0.44
    SequentialGroup
    -0.43
     suaminya
    -0.42
    POSITIVE LOGITS
     half
    0.65
     twice
    0.57
     halfway
    0.55
     two
    0.53
     six
    0.53
     eight
    0.52
     five
    0.52
     seven
    0.51
     three
    0.51
     four
    0.49
    Activations Density 0.323%

    No Known Activations