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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. 1-RES-JB
    11. 21124
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uchin
    -0.88
    chin
    -0.84
    enges
    -0.78
    ĪĴ
    -0.76
    esson
    -0.74
    elf
    -0.73
    agogue
    -0.72
    ugu
    -0.72
    fortable
    -0.72
    inence
    -0.72
    POSITIVE LOGITS
     Compensation
    0.79
     Clement
    0.79
     Columbus
    0.69
     Cull
    0.68
     recorded
    0.68
     OPS
    0.68
     RV
    0.67
     recording
    0.65
     transports
    0.65
     Volunteers
    0.64
    Activations Density 0.000%

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