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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. 1721
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    Explanations

    numerical digits and codes

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers, particularly those related to specific codes or identifiers

    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
    mble
    -0.82
    nesday
    -0.80
    purpose
    -0.73
    itivity
    -0.71
     tiss
    -0.71
    achus
    -0.70
     Ange
    -0.69
     compr
    -0.69
    skirts
    -0.67
    uran
    -0.67
    POSITIVE LOGITS
     ILCS
    1.02
    «ĺ
    0.88
    328
    0.88
    MHz
    0.83
    468
    0.83
    00
    0.78
    324
    0.77
    344
    0.77
    mph
    0.77
    wagen
    0.77
    Activations Density 0.027%

    No Known Activations