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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8861
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    Explanations

    phrases and sentences that contain the word "based" to make decisions or judgments

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conditions or criteria for making decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ertain
    -0.77
    opsis
    -0.70
    igmat
    -0.69
    imilation
    -0.64
    Reviewer
    -0.64
    roth
    -0.62
    jay
    -0.62
    RAG
    -0.61
    LCS
    -0.61
    ggies
    -0.61
    POSITIVE LOGITS
    aneously
    0.68
     upstream
    0.62
     behalf
    0.61
     favour
    0.60
    xes
    0.60
     Omaha
    0.59
     weekends
    0.58
     intervals
    0.58
     Lund
    0.57
     spring
    0.56
    Activations Density 0.746%

    No Known Activations