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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. 21058
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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
     Cull
    -0.69
     Stra
    -0.66
     dur
    -0.65
     wiser
    -0.65
     behavi
    -0.64
     Deg
    -0.64
    Cu
    -0.63
    ãĥĨãĤ£
    -0.63
     dict
    -0.63
    iary
    -0.62
    POSITIVE LOGITS
    execute
    0.79
    ioxide
    0.75
    enburg
    0.74
    loads
    0.73
    hirt
    0.72
    john
    0.72
    ingham
    0.71
    euro
    0.70
    hung
    0.70
    cheat
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.