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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9699
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    proper nouns relating to individuals and locations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    CppMethod
    -0.51
    TagMode
    -0.49
    AppMethodBeat
    -0.46
    Personendaten
    -0.42
    RESULTADOS
    -0.41
    UnknownFieldSet
    -0.41
     tirantes
    -0.40
     Wiktionnaire
    -0.40
     aikaa
    -0.40
     meille
    -0.39
    POSITIVE LOGITS
     @"/
    0.51
     Fidelity
    0.49
    ooga
    0.46
     Tala
    0.45
     fidelity
    0.45
    RegressionTest
    0.45
     avon
    0.44
    注
    0.43
    icksburg
    0.43
     CTS
    0.43
    Activations Density 0.464%

    No Known Activations