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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. 2-RES-JB
    11. 7386
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    amina
    -0.81
    spection
    -0.78
     Noir
    -0.71
    poses
    -0.69
    spect
    -0.68
    posure
    -0.67
    VW
    -0.67
    estinal
    -0.66
    cision
    -0.66
    redients
    -0.65
    POSITIVE LOGITS
     underestimate
    0.81
    ĸļ
    0.79
     encour
    0.76
     instr
    0.73
     undermin
    0.72
     mathemat
    0.72
     largeDownload
    0.72
    enegger
    0.69
     welcome
    0.69
     Antar
    0.67
    Activations Density 0.000%

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