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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 12247
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    references to leather in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/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.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ContextHolder
    -0.45
     absence
    -0.44
     PeEnEo
    -0.44
    ConstraintMaker
    -0.42
    cdk
    -0.41
     negativity
    -0.40
     forced
    -0.40
    Referencies
    -0.40
     mdl
    -0.39
    dientemente
    -0.39
    POSITIVE LOGITS
    Participating
    0.62
    Cheers
    0.59
     Cheers
    0.56
     Participating
    0.54
    cheers
    0.53
     Lingkungan
    0.50
    particip
    0.49
    kkue
    0.46
     anticipate
    0.46
     oprot
    0.46
    Activations Density 0.100%

    No Known Activations