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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. 1-RES-JB
    11. 698
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    Explanations

    numerical data or statistics

    oai_token-act-pair · gpt-3.5-turbo

    a specific numeric value or statistic appearing frequently in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.81
    liga
    -0.77
    reek
    -0.75
    ĸļ
    -0.74
    raints
    -0.72
    efficients
    -0.71
    stable
    -0.70
    raint
    -0.70
    awaru
    -0.69
    urity
    -0.69
    POSITIVE LOGITS
    370
    0.98
    00
    0.82
    37
    0.78
    491
    0.78
    ा
    0.75
    âĸijâĸij
    0.73
    moon
    0.72
    38
    0.72
    40
    0.71
     chars
    0.70
    Activations Density 0.023%

    No Known Activations