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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 774
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    Explanations

    references to transportation infrastructure, specifically railway lines and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.76
     ContentValues
    -0.69
     BoxFit
    -0.66
    UnsafeEnabled
    -0.66
    RegistryLite
    -0.59
    RTEX
    -0.59
    akhstan
    -0.59
     homeland
    -0.58
    TypedDataSet
    -0.57
    étation
    -0.57
    POSITIVE LOGITS
     highway
    0.75
     Highway
    0.70
     roads
    0.69
     road
    0.68
    道
    0.67
     path
    0.60
     caminos
    0.59
     motorway
    0.58
     highways
    0.58
     Road
    0.57
    Activations Density 0.528%

    No Known Activations