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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. 3225
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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
    bush
    -0.88
    20439
    -0.83
    ashington
    -0.79
    phas
    -0.75
    usra
    -0.73
    aro
    -0.70
    bucks
    -0.69
    pes
    -0.69
    igg
    -0.69
    agra
    -0.67
    POSITIVE LOGITS
     Genius
    0.71
     Erd
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     automation
    0.70
     abstraction
    0.69
     Dinosaur
    0.68
     Gutenberg
    0.68
     Kem
    0.66
     horizont
    0.66
     vigilance
    0.65
     Meh
    0.62
    Activations Density 0.000%

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