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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. 3256
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    INDEX
    Explanations
    No Explanations Found
    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
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    Negative Logits
    catentry
    -0.79
     advising
    -0.76
    mma
    -0.70
     grip
    -0.68
     illuminating
    -0.66
    Results
    -0.64
     scraping
    -0.64
     seiz
    -0.63
     suspending
    -0.63
    ovan
    -0.62
    POSITIVE LOGITS
    nesia
    0.75
    ãĤ¡
    0.74
    Ĥ
    0.74
     Awakens
    0.72
     Carbuncle
    0.71
    ¬
    0.70
    \\\\\\\\
    0.69
    iliary
    0.69
    ãĥ¼ãĤ¯
    0.68
    ãĥ¼ãĥĨãĤ£
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.