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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. 595
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    INDEX
    Explanations

    occurrences of the term "Ran" and its variants in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    RegressionTest
    -0.57
    Hochspringen
    -0.54
    setVerticalGroup
    -0.49
    帖最后由
    -0.46
    MergeFrom
    -0.44
    Personendaten
    -0.43
    addContainerGap
    -0.42
    yntaxException
    -0.41
    quehanna
    -0.40
    ksikon
    -0.40
    POSITIVE LOGITS
     Ran
    2.13
    Ran
    2.06
    ran
    1.99
    RAN
    1.70
     ran
    1.60
     RAN
    1.45
     Ranch
    1.30
     Rand
    1.26
     ranch
    1.21
    Rand
    1.20
    Activations Density 0.389%

    No Known Activations