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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. 6935
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    INDEX
    Explanations

    mentions or indications of making, distributing, or selling copies of printed material

    oai_token-act-pair · gpt-3.5-turbo

    references to the number of copies of a book or product sold

    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
    astical
    -0.77
    redo
    -0.70
    usalem
    -0.70
    shore
    -0.68
    trop
    -0.65
    stice
    -0.65
    senal
    -0.64
    NG
    -0.63
    omo
    -0.63
    ESCO
    -0.62
    POSITIVE LOGITS
     copies
    1.13
     copy
    1.03
     thereof
    0.82
     paste
    0.81
    cat
    0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.77
    copy
    0.75
     photoc
    0.74
    writer
    0.74
    cats
    0.73
    Activations Density 0.012%

    No Known Activations