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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12173
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    Explanations

    technical details about vehicle components and their functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.75
    complexContent
    -0.55
    NamedQuery
    -0.52
    esModule
    -0.50
     OMITBAD
    -0.50
    xase
    -0.49
    Kanpo
    -0.49
     Fid
    -0.49
    出版年
    -0.48
     fid
    -0.48
    POSITIVE LOGITS
     suspension
    1.05
     suspensions
    0.84
     suspensión
    0.83
     Suspension
    0.82
    suspension
    0.80
    Suspension
    0.76
     shock
    0.73
     suspensão
    0.73
     suspen
    0.72
     SUSP
    0.72
    Activations Density 0.160%

    No Known Activations