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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8966
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    components related to text encoding and character sets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.54
    tvguidetime
    -0.39
    InjectMocks
    -0.38
     stethoscope
    -0.37
    ronom
    -0.36
    thalene
    -0.35
    Sandwich
    -0.35
    zünd
    -0.35
     DARK
    -0.35
     Beard
    -0.35
    POSITIVE LOGITS
     encoding
    1.29
     Encoding
    1.12
    encoding
    1.05
     UTF
    1.02
    Encoding
    0.96
     utf
    0.95
    编码
    0.91
    UTF
    0.88
     encode
    0.88
    utf
    0.87
    Activations Density 0.611%

    No Known Activations