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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 1583
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    Explanations

    mentions of different types of oils

    oai_token-act-pair · gpt-3.5-turbo

    references to oils in various contexts

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

    No Comments

    Negative Logits
     Laws
    -0.68
     counsel
    -0.65
    lace
    -0.63
    ez
    -0.62
    eddy
    -0.61
     Levy
    -0.60
    ELL
    -0.58
     Counsel
    -0.58
     Malays
    -0.57
    aine
    -0.57
    POSITIVE LOGITS
    ysc
    0.88
    auga
    0.85
    terness
    0.83
    Į
    0.79
    sembly
    0.79
    metry
    0.77
    pring
    0.77
    neapolis
    0.77
    ority
    0.76
    ¯¯¯¯
    0.76
    Activations Density 0.034%

    No Known Activations