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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. 11846
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    terms related to vehicle performance and efficiency features

    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
    IContainer
    -0.71
    IUrlHelper
    -0.59
    bootstrapcdn
    -0.59
    AnchorStyles
    -0.58
    lorette
    -0.57
    andoah
    -0.57
    RectangleBorder
    -0.56
     kasarigan
    -0.55
     Administrativna
    -0.54
     мәкалә
    -0.54
    POSITIVE LOGITS
     Vauxhall
    0.47
     saloon
    0.45
     Opel
    0.45
     Peugeot
    0.44
     Citroen
    0.42
     Astra
    0.40
     Kang
    0.40
     Renault
    0.39
    Span
    0.39
     workshop
    0.39
    Activations Density 0.410%

    No Known Activations