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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. 5-RES-JB
    6. 11825
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    Explanations

    mentions or references to notable figures or political leaders

    oai_token-act-pair · gpt-3.5-turbo

    the word "at" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tsukuyomi
    -0.75
    SPONSORED
    -0.72
    ppelin
    -0.69
    vous
    -0.65
    ¥ŀ
    -0.64
    stocks
    -0.63
    SER
    -0.60
    pter
    -0.59
    æĸ¹
    -0.59
    gravity
    -0.59
    POSITIVE LOGITS
    abase
    1.17
    rix
    1.15
    rice
    1.08
    oday
    1.08
    mosp
    1.01
    hemat
    1.00
    rices
    0.98
    hens
    0.97
    rium
    0.95
    roph
    0.95
    Activations Density 0.038%

    No Known Activations