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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. 14502
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    INDEX
    Explanations

    phrases indicating continued actions or sequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to continuous actions or processes

    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
     Surprise
    -0.86
     Gleaming
    -0.76
     Mesa
    -0.73
     Yosemite
    -0.72
     Shelter
    -0.72
     Runner
    -0.70
     Abdel
    -0.70
    dylib
    -0.68
    Runner
    -0.64
     Clothing
    -0.63
    POSITIVE LOGITS
     uninterrupted
    0.81
     adolesc
    0.77
    tions
    0.76
    clusively
    0.75
    abre
    0.74
    edly
    0.73
     unab
    0.69
     indefinitely
    0.69
     diligence
    0.68
    nces
    0.67
    Activations Density 0.238%

    No Known Activations