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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8482
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    references to specific vehicle models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    car model names and specifications (particularly Peugeot model numbers and features).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    Usually
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     célèbres
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    POSITIVE LOGITS
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    0.81
    parsedMessage
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    Rohy
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    StateToProps
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     dieſe
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     propOrder
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    ロウィン
    0.65
    Jeografia
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    Дерекк
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    iſche
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    Activations Density 0.325%

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