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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13173
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    Explanations

    identifications of people and their professional roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bestaande
    -0.52
     pinulongan
    -0.49
    tvguidetime
    -0.42
     Directors
    -0.42
     Head
    -0.42
     Heads
    -0.40
     AssemblyTitle
    -0.36
     noodzake
    -0.36
     Captains
    -0.36
     Auditors
    -0.35
    POSITIVE LOGITS
     spokesman
    0.76
     executive
    0.68
     chair
    0.66
     president
    0.65
    ReusableCell
    0.64
     chairman
    0.63
     spokesperson
    0.62
     spokeswoman
    0.62
     managing
    0.60
     communications
    0.60
    Activations Density 0.253%

    No Known Activations