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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. 15307
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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
     Petraeus
    -0.64
     Gram
    -0.63
     Karma
    -0.62
    Round
    -0.61
    aution
    -0.59
     sentences
    -0.58
     reversible
    -0.57
     typo
    -0.57
     gib
    -0.57
    lambda
    -0.56
    POSITIVE LOGITS
    apolis
    0.78
    tery
    0.76
    BM
    0.74
    mare
    0.71
    yne
    0.69
    ONS
    0.69
    uron
    0.68
     dur
    0.68
    crew
    0.66
     Skydragon
    0.65
    Activations Density 0.000%

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