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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6417
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    Explanations

    references to the word "tar" and its various contextual usages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <=",
    -0.43
    signals
    -0.42
     CanadaChoose
    -0.42
    adpleegd
    -0.41
     Signals
    -0.40
     varmt
    -0.40
    Signal
    -0.39
     methylene
    -0.39
    durable
    -0.39
    ariato
    -0.39
    POSITIVE LOGITS
     Tar
    0.81
     tar
    0.78
    Tar
    0.71
    tar
    0.68
    ScopeManager
    0.67
    preventDefault
    0.59
    gdx
    0.59
    ia
    0.57
     Tariff
    0.55
     tariffs
    0.54
    Activations Density 1.587%

    No Known Activations