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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. 2931
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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
    Loading
    -0.75
     Bucket
    -0.68
    utters
    -0.66
     Citation
    -0.66
    >>>>
    -0.65
     ][
    -0.62
    Buzz
    -0.62
    hur
    -0.61
     Description
    -0.61
     Founding
    -0.59
    POSITIVE LOGITS
     cardio
    0.69
     lasted
    0.67
    aimon
    0.67
     iodine
    0.66
     perm
    0.63
    nir
    0.62
    rones
    0.61
     Zionism
    0.61
     equilibrium
    0.61
     Ragnar
    0.61
    Activations Density 0.000%

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