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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. 8218
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    Explanations

    terms related to dirtiness and contamination

    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
     Numerade
    -0.54
    makeConstraints
    -0.52
    liferay
    -0.50
     doubly
    -0.50
     TPE
    -0.49
    onomía
    -0.48
    coping
    -0.48
     Synergy
    -0.47
     MSI
    -0.47
    WriteLiteral
    -0.46
    POSITIVE LOGITS
     dirt
    1.63
     dirty
    1.60
    dirty
    1.39
    dirt
    1.37
     Dirty
    1.36
     Dirt
    1.35
    Dirty
    1.30
    Dirt
    1.28
     mud
    1.15
     impure
    1.13
    Activations Density 0.269%

    No Known Activations