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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. 25009
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    Explanations

    references to the concept of "burn" in various contexts

    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
    anford
    -0.19
    ually
    -0.17
    rames
    -0.16
    gil
    -0.15
    reh
    -0.15
     Fauc
    -0.15
    IAL
    -0.14
    omin
    -0.14
     Civil
    -0.14
    FA
    -0.14
    POSITIVE LOGITS
    ished
    0.26
    ishing
    0.24
    ISHED
    0.23
    out
    0.20
    ikel
    0.19
     Burn
    0.19
    outs
    0.19
     burn
    0.19
    kening
    0.19
     ðŁĶ
    0.18
    Activations Density 0.018%

    No Known Activations