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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. 6-RES-JB
    11. 4368
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    Explanations

    decimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly statistics and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    raltar
    -0.93
    isition
    -0.81
    umbn
    -0.75
    rament
    -0.75
    ylum
    -0.72
    lication
    -0.71
    berman
    -0.69
    ierrez
    -0.69
    awaru
    -0.69
    ushima
    -0.69
    POSITIVE LOGITS
     ERA
    0.89
     cubic
    0.83
     ly
    0.79
     WRITE
    0.79
     lakh
    0.76
     crore
    0.73
    GHz
    0.72
    625
    0.72
     ounces
    0.72
    MM
    0.71
    Activations Density 0.061%

    No Known Activations