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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. 6769
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    Explanations

    keywords related to brake maintenance and safety

    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
     Hull
    -0.35
    aigu
    -0.34
     nakalista
    -0.34
    Демографія
    -0.33
    yargs
    -0.31
    map
    -0.31
    Stress
    -0.30
     dáng
    -0.30
    <?
    -0.30
     Stress
    -0.29
    POSITIVE LOGITS
     brake
    1.35
     brakes
    1.18
     Brake
    1.16
    brake
    1.13
    Brake
    1.09
     braking
    1.02
     Brakes
    0.96
    ブレーキ
    0.94
     calipers
    0.93
     caliper
    0.89
    Activations Density 0.215%

    No Known Activations