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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. 23320
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    Explanations

    numerical values 30 followed by 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    statistics and numerical data points related to sports

    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
    lar
    -0.87
    algia
    -0.83
    ĸļ
    -0.83
    ramid
    -0.82
    ation
    -0.80
    ourge
    -0.80
    atories
    -0.79
    querade
    -0.78
    yright
    -0.78
    ype
    -0.77
    POSITIVE LOGITS
    nm
    0.81
    fps
    0.81
    utical
    0.73
    %"
    0.72
     mins
    0.72
    ¯¯
    0.71
    30
    0.69
    mph
    0.69
    MM
    0.69
     minutes
    0.68
    Activations Density 0.040%

    No Known Activations