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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 28-LLAMASCOPE-RES-32K
    11. 25018
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    Explanations

    discussions about financial spending and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 28-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L28R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ñıг
    -0.14
    οÏħλ
    -0.14
    thur
    -0.14
    stdarg
    -0.13
     Discount
    -0.13
    thon
    -0.13
     Slater
    -0.13
    scoped
    -0.13
    zcze
    -0.13
    _stride
    -0.13
    POSITIVE LOGITS
     spend
    1.11
     spending
    1.08
     spent
    1.03
     spends
    1.00
     Spend
    0.99
     Spending
    0.96
    spent
    0.94
     spender
    0.78
     expenditure
    0.71
     expenditures
    0.61
    Activations Density 0.440%

    No Known Activations