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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. 0-RES-JB
    11. 16410
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
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    href
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    ĨĴ
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     hours
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    abama
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    ãĤ¤ãĥĪ
    -0.63
    ¥µ
    -0.61
     Discipline
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     differently
    -0.61
     Watts
    -0.61
    POSITIVE LOGITS
    rings
    0.72
    Pal
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    achu
    0.70
    amas
    0.69
    án
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    faces
    0.68
     PAL
    0.67
    prints
    0.67
    ItemTracker
    0.66
    marked
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.