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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. 8-RES-JB
    11. 14353
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    INDEX
    Explanations

    names formatted with initials

    oai_token-act-pair · gpt-3.5-turbo

    titles or names of creative works (like films, books, or songs)

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    renheit
    -0.71
    catentry
    -0.68
    kefeller
    -0.66
    ordan
    -0.66
    Cub
    -0.63
    issance
    -0.62
    igue
    -0.62
    vironment
    -0.61
    ardo
    -0.61
    ä½ľ
    -0.61
    POSITIVE LOGITS
    lishes
    0.73
     Wynne
    0.60
    ucha
    0.58
    poons
    0.58
     Rowling
    0.56
    adesh
    0.55
    Ļ½
    0.55
     Vaughan
    0.54
    poon
    0.54
     Leviathan
    0.53
    Activations Density 0.058%

    No Known Activations