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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. 3-RES-JB
    11. 16817
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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
    mma
    -0.91
    hyde
    -0.86
    ï¸
    -0.85
    uve
    -0.80
    gerald
    -0.79
    tackle
    -0.77
    vable
    -0.76
    ueller
    -0.76
    xual
    -0.73
     Rossi
    -0.73
    POSITIVE LOGITS
     Reasons
    0.83
    odes
    0.80
     Orders
    0.69
    akening
    0.67
     Calls
    0.65
     polls
    0.65
     Standing
    0.64
     redes
    0.64
     Init
    0.62
     Rates
    0.61
    Activations Density 0.000%

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