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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 20-LLAMASCOPE-RES-32K
    11. 27095
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    Explanations

    instructions related to cutting or slicing techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vais
    -0.17
    eczy
    -0.15
    uspend
    -0.15
    enberg
    -0.15
     Wr
    -0.15
    licit
    -0.15
    washing
    -0.14
    akat
    -0.14
     å¸
    -0.14
    ude
    -0.14
    POSITIVE LOGITS
     cutting
    0.45
     Cutting
    0.43
     cut
    0.43
    -cut
    0.41
     cuts
    0.41
     Cut
    0.41
    cut
    0.40
    Cut
    0.39
     cutter
    0.38
     CUT
    0.36
    Activations Density 0.083%

    No Known Activations