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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. 4934
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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
     forfeiture
    -0.77
    coins
    -0.75
     confir
    -0.73
    posts
    -0.73
     weddings
    -0.72
    76561
    -0.72
     funer
    -0.71
     engagements
    -0.70
     Newsp
    -0.69
     conduc
    -0.68
    POSITIVE LOGITS
    amera
    0.73
    Problem
    0.72
    dimension
    0.69
    0002
    0.69
    English
    0.68
    Sensor
    0.67
     Remastered
    0.67
    angu
    0.67
    ample
    0.66
    NOW
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.