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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. 2637
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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
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    Negative Logits
    ilial
    -0.78
     cov
    -0.74
     Hound
    -0.71
    uve
    -0.70
     Ji
    -0.64
     predic
    -0.63
     POV
    -0.62
    ozyg
    -0.62
    htaking
    -0.61
     Lau
    -0.61
    POSITIVE LOGITS
    HUD
    0.80
    etheless
    0.74
    ERAL
    0.72
     Resources
    0.71
     Employees
    0.71
    ł
    0.68
    Dear
    0.68
    Indiana
    0.67
    resent
    0.63
    resources
    0.63
    Activations Density 0.000%

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