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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. 9-RES-JB
    6. 2237
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    Explanations

    words related to challenges and obstacles

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liv
    -0.70
    cffff
    -0.66
    psc
    -0.64
    dule
    -0.62
    elin
    -0.61
     srf
    -0.60
    ADRA
    -0.57
    ceans
    -0.56
    azard
    -0.56
    inav
    -0.56
    POSITIVE LOGITS
     involves
    0.86
     relates
    0.83
     imaginable
    0.76
     revolves
    0.76
     is
    0.75
     concerns
    0.73
     derives
    0.72
     lies
    0.70
     arises
    0.69
     resides
    0.68
    Activations Density 0.214%

    No Known Activations