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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. 0-RES-JB
    11. 2696
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rique
    -0.70
    ardo
    -0.68
     gateway
    -0.66
     Mart
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     cellar
    -0.63
    rance
    -0.60
    vd
    -0.60
    vp
    -0.59
     Profile
    -0.59
    inger
    -0.59
    POSITIVE LOGITS
    tle
    0.78
    arya
    0.74
    pees
    0.72
    onson
    0.70
    culosis
    0.70
    APP
    0.69
    Amount
    0.68
    aml
    0.67
    acea
    0.66
    ourt
    0.65
    Activations Density 0.000%

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