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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 4692
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    numerical identifiers and values in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <eos>
    -0.42
     huom
    -0.34
    Elaboración
    -0.32
    municipi
    -0.31
     palju
    -0.30
     Meksiko
    -0.30
     española
    -0.30
    �
    -0.30
     Latinoamérica
    -0.30
     espectáculos
    -0.30
    POSITIVE LOGITS
    <unused14>
    0.90
    <unused8>
    0.89
    [@BOS@]
    0.89
    <unused79>
    0.89
    <unused41>
    0.89
    <unused16>
    0.89
    <unused68>
    0.89
    <unused51>
    0.88
    <unused28>
    0.88
    <unused3>
    0.88
    Activations Density 0.551%

    No Known Activations