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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. 11649
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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
    uers
    -0.78
    ÃŁ
    -0.72
    Reloaded
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    perse
    -0.66
    selves
    -0.65
     Poles
    -0.64
    iHUD
    -0.64
    Fund
    -0.64
    Coun
    -0.64
    ãĥ£
    -0.63
    POSITIVE LOGITS
     specificity
    0.72
     fracturing
    0.71
    letal
    0.70
     gallery
    0.69
    idium
    0.67
     crest
    0.67
     docking
    0.66
    ence
    0.64
     scratching
    0.64
     elevation
    0.64
    Activations Density 0.000%

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