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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. 7-RES-JB
    6. 4599
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resumes
    -0.80
     cabinets
    -0.76
     Schwar
    -0.70
    hops
    -0.69
    terness
    -0.67
    tion
    -0.64
    swer
    -0.63
    hof
    -0.63
    Ĥª
    -0.63
    utonium
    -0.62
    POSITIVE LOGITS
    Ò
    0.71
     MV
    0.64
    CLE
    0.64
    ãĤ¨ãĥ«
    0.63
    soDeliveryDate
    0.62
    externalActionCode
    0.62
    VID
    0.62
    DES
    0.62
    RANT
    0.62
    INC
    0.61
    Activations Density 0.102%

    No Known Activations