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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. 12388
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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
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    -0.77
     Orchestra
    -0.67
     Taj
    -0.67
    Versions
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     Amtrak
    -0.61
     Tong
    -0.61
    Dust
    -0.60
     Saud
    -0.60
     Disney
    -0.59
    dust
    -0.59
    POSITIVE LOGITS
    ilers
    0.81
    geries
    0.80
    annis
    0.73
    erred
    0.73
    rio
    0.71
    fp
    0.71
    xus
    0.70
    growth
    0.70
    Wallet
    0.69
    oids
    0.69
    Activations Density 0.000%

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