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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1459
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    Explanations

    keywords and attributes related to movie genres and their classifications in a programming context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.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
    SourceChecksum
    -0.80
    ChildScrollView
    -0.72
     onPostExecute
    -0.69
    FunctionFlags
    -0.66
     CreateTagHelper
    -0.65
     nahilalakip
    -0.64
    writeFieldEnd
    -0.62
    +#+#
    -0.60
    <unused52>
    -0.60
    ReusableCell
    -0.60
    POSITIVE LOGITS
    GrantedAuthority
    0.47
     organisation
    0.39
     sector
    0.35
    Name
    0.34
     organisations
    0.34
     identified
    0.34
     name
    0.34
     Gruppen
    0.33
     communities
    0.33
    名稱
    0.32
    Activations Density 0.609%

    No Known Activations