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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22360
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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
    watch
    -0.84
    onte
    -0.78
    aire
    -0.74
    ardless
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    oise
    -0.72
    doors
    -0.70
    encer
    -0.69
    orio
    -0.69
    ixt
    -0.68
    iframe
    -0.68
    POSITIVE LOGITS
     misunder
    0.92
     depreciation
    0.67
     deval
    0.66
     subsequ
    0.65
     curses
    0.64
     invaluable
    0.63
     mathemat
    0.63
    rab
    0.63
     mish
    0.62
    jer
    0.61
    Activations Density 0.000%

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