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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. 7159
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    Explanations

    terms related to responses and reaction rates in various contexts

    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
     ​​
    -0.45
     Utilizamos
    -0.39
     necessárias
    -0.39
     whiteColor
    -0.39
    getFullYear
    -0.39
     برانيه
    -0.38
    audiovisuel
    -0.37
     userType
    -0.36
    *
    -0.35
     egip
    -0.35
    POSITIVE LOGITS
     response
    1.41
     Response
    1.35
     RESPONSE
    1.21
    response
    1.20
    Response
    1.16
     responses
    1.14
     Responses
    1.09
    RESPONSE
    1.07
     respond
    1.04
    Responses
    1.04
    Activations Density 0.148%

    No Known Activations