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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 26-LLAMASCOPE-RES-32K
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    Explanations

    occurrences of the word "train" 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 @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agr
    -0.18
    enger
    -0.18
    ing
    -0.16
    empl
    -0.16
    rians
    -0.15
    lech
    -0.15
     trained
    -0.14
    enis
    -0.14
    itzer
    -0.14
    assy
    -0.14
    POSITIVE LOGITS
    ees
    0.38
    ee
    0.31
    ings
    0.21
    loads
    0.20
    /bus
    0.19
    load
    0.19
    OSE
    0.18
    ride
    0.18
    yard
    0.18
     ride
    0.17
    Activations Density 0.010%

    No Known Activations