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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. 8294
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    references to property damage and renovations

    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
    bosis
    -0.48
     privatisation
    -0.48
     snippetHide
    -0.47
     يتيمه
    -0.46
     Consultancy
    -0.44
     consultancy
    -0.43
     Organisations
    -0.42
     dessin
    -0.42
     refurbishment
    -0.41
    MockMvc
    -0.41
    POSITIVE LOGITS
     siding
    0.52
     foundation
    0.51
     समीक्षाओं
    0.48
    foundation
    0.48
     виправивши
    0.45
     drywall
    0.44
     egress
    0.42
     newer
    0.42
     propane
    0.42
    ⅝
    0.41
    Activations Density 0.194%

    No Known Activations