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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4964
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    Explanations

    names of people in a context related to education or healthcare

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urably
    -0.46
     structurally
    -0.45
    ssic
    -0.44
     bodem
    -0.43
    enseignements
    -0.42
     tayo
    -0.42
     technological
    -0.42
    AMED
    -0.42
     nostru
    -0.41
    Hochspringen
    -0.41
    POSITIVE LOGITS
    Personensuche
    0.55
    下载附件
    0.52
    WireFormatLite
    0.47
     unemployed
    0.45
    windowFixed
    0.44
     pedicure
    0.42
    AddTagHelper
    0.41
     freshman
    0.41
    SOUNDBITE
    0.40
     graduating
    0.40
    Activations Density 0.146%

    No Known Activations