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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. 6679
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    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
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    No Comments

    Negative Logits
     barriers
    -0.56
    alties
    -0.54
    oppable
    -0.52
    anship
    -0.50
     restraints
    -0.47
     purs
    -0.47
    ellery
    -0.47
     quotas
    -0.47
     tougher
    -0.45
     branded
    -0.45
    POSITIVE LOGITS
    cember
    0.96
     âĸĪ
    0.89
    ruary
    0.81
     August
    0.80
     September
    0.78
     epoch
    0.78
     October
    0.77
    âĸĪâĸĪ
    0.77
     09
    0.77
     1945
    0.76
    Activations Density 0.733%

    No Known Activations