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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. 12621
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    Explanations

    numbers indicating ordinal positions or rankings, such as "1st," "2nd," "3rd," etc

    oai_token-act-pair · gpt-3.5-turbo

    ordinal numbers and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Downloadha
    -0.79
     Canaver
    -0.72
    bos
    -0.70
    bath
    -0.69
    etting
    -0.67
    ptin
    -0.67
    mbuds
    -0.63
    obs
    -0.63
    sav
    -0.63
    zai
    -0.62
    POSITIVE LOGITS
     Amendment
    1.00
     Circuit
    0.92
     percentile
    0.89
     Avenue
    0.88
     UPDATE
    0.86
     Degree
    0.86
     Annual
    0.85
    ousand
    0.83
     Place
    0.82
     inning
    0.81
    Activations Density 0.037%

    No Known Activations