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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. 6-RES-JB
    6. 13429
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    Explanations

    instances of the word "distributed" in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distribution or dissemination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chest
    -0.84
     ABE
    -0.71
    tes
    -0.69
     Huss
    -0.68
    ton
    -0.68
    astical
    -0.67
    hma
    -0.65
    te
    -0.65
    gery
    -0.64
    obs
    -0.64
    POSITIVE LOGITS
     distribute
    1.04
     leaflets
    1.02
     distributing
    0.96
     distribution
    0.93
     distribut
    0.91
     distributions
    0.90
     disperse
    0.89
    sheets
    0.83
     Distribution
    0.83
    DAQ
    0.83
    Activations Density 0.017%

    No Known Activations