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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. 3-RES-JB
    11. 344
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    INDEX
    Explanations

    names of various entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly people and specific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.74
    ãĥ¼ãĥĨ
    -0.63
     Afgh
    -0.61
    ãĥĩãĤ£
    -0.60
     Moroc
    -0.59
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.59
    pheus
    -0.59
     Vaugh
    -0.57
    Interstitial
    -0.57
    ilaterally
    -0.55
    POSITIVE LOGITS
    mo
    0.53
    BILITIES
    0.48
     largeDownload
    0.47
    ifa
    0.45
     âĢº
    0.45
    Star
    0.45
    afa
    0.45
    gae
    0.45
    GF
    0.44
    imon
    0.43
    Activations Density 0.578%

    No Known Activations