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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. 11-RES-JB
    6. 16482
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    INDEX
    Explanations

    phrases related to concentration or focus

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.93
    try
    -0.77
    buster
    -0.76
    hari
    -0.75
    alan
    -0.74
    pire
    -0.74
    eva
    -0.73
    âĢł
    -0.70
    âĿ
    -0.69
    URA
    -0.68
    POSITIVE LOGITS
     specifics
    1.29
     positives
    1.28
     particulars
    1.27
     fact
    1.16
     basics
    1.11
     merits
    1.10
     mundane
    1.10
     negatives
    1.09
     fundamentals
    1.08
     aesthetics
    1.02
    Activations Density 0.274%

    No Known Activations