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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. 22331
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    Explanations

    terms related to magnification or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "magnitude" or "magnification."

    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
    OPLE
    -0.92
    BOOK
    -0.90
     Alive
    -0.82
    pta
    -0.78
     Warriors
    -0.72
    IRO
    -0.70
    FAULT
    -0.69
     Samurai
    -0.69
    FO
    -0.69
    ndra
    -0.68
    POSITIVE LOGITS
    olia
    1.15
    ific
    1.13
    ificent
    1.13
    itudes
    1.09
    animous
    1.02
    amic
    0.98
    ately
    0.93
     glim
    0.92
    aques
    0.89
    itud
    0.89
    Activations Density 0.018%

    No Known Activations