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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9135
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    Explanations

    references to senators or the Senate

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     negotiating
    -0.56
     negotiation
    -0.52
     négo
    -0.49
     negociar
    -0.49
     Negotiation
    -0.48
     negotiate
    -0.45
    Negoti
    -0.44
     перегово
    -0.44
     Negotiations
    -0.42
     Negotiating
    -0.41
    POSITIVE LOGITS
     Sen
    1.17
    Sen
    1.12
    sen
    1.03
    SEN
    0.98
     sen
    0.97
     SEN
    0.94
     Senat
    0.77
     Sens
    0.76
     Sense
    0.75
    Sens
    0.75
    Activations Density 0.079%

    No Known Activations