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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
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    Explanations

    references to the effectiveness of policies in practice versus theory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ÙħعÙĦÙĪÙħات
    -0.15
    éijij
    -0.14
    isco
    -0.14
    ognitive
    -0.14
    azor
    -0.14
    uela
    -0.13
    bÃŃr
    -0.13
    Å¡tÄĽ
    -0.13
     Burr
    -0.13
    pector
    -0.13
    POSITIVE LOGITS
     practical
    0.59
     practice
    0.52
     actual
    0.52
     Practical
    0.48
     prakt
    0.46
    å®ŀéĻħ
    0.46
    practice
    0.46
    actual
    0.44
     implementation
    0.43
     Actual
    0.43
    Activations Density 0.463%

    No Known Activations