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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 14728
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    Explanations

    references to automotive industry rankings and awards related to specific vehicle models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elemField
    -0.78
    tagext
    -0.78
     EconPapers
    -0.77
    StructEnd
    -0.67
    bukkit
    -0.65
     "..\..\
    -0.63
     OMITBAD
    -0.61
     disambiguazione
    -0.60
     setuptools
    -0.56
    ########.
    -0.56
    POSITIVE LOGITS
     auto
    0.72
    ROIT
    0.68
     automaker
    0.62
     Auto
    0.59
    auto
    0.59
    Auto
    0.59
     assembly
    0.58
     Detroit
    0.58
     Automotive
    0.56
     GM
    0.55
    Activations Density 0.251%

    No Known Activations