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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 2853
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    Explanations

    values related to interest rates

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     duplication
    -0.77
    NetMessage
    -0.73
    PHOTOS
    -0.73
    emetery
    -0.73
    roups
    -0.71
     microbi
    -0.70
     Folder
    -0.70
     Dupl
    -0.68
    borgh
    -0.67
     Span
    -0.67
    POSITIVE LOGITS
     pegged
    1.02
     inflation
    1.02
     peg
    0.98
     LIB
    0.96
     CPI
    0.95
    ilibrium
    0.92
     adjustment
    0.90
     deflation
    0.90
     lows
    0.89
     adjustable
    0.89
    Activations Density 0.243%

    No Known Activations