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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. 5-RES-JB
    6. 15842
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    HTTP
    -0.70
    away
    -0.68
    aco
    -0.67
    OH
    -0.66
    too
    -0.66
    ¶
    -0.64
    twitter
    -0.64
    Bul
    -0.63
    uphem
    -0.62
    ormal
    -0.62
    POSITIVE LOGITS
     Takeru
    0.79
     Strateg
    0.73
     Patel
    0.72
    onduct
    0.70
     perspect
    0.68
    monds
    0.68
    depth
    0.66
     Karin
    0.66
     answ
    0.65
     Franz
    0.64
    Activations Density 0.000%

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