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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. 3300
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    INDEX
    Explanations
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    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
    angular
    -0.81
    ingen
    -0.73
    peak
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    asta
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     dressing
    -0.69
    lov
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    dor
    -0.68
    loo
    -0.68
    dan
    -0.66
    glass
    -0.65
    POSITIVE LOGITS
    UTC
    0.98
     conclud
    0.85
    ãĥĥãĥĪ
    0.72
     partName
    0.69
    udos
    0.69
    quickShipAvailable
    0.67
    è£ħ
    0.66
     streng
    0.66
     Voters
    0.65
    Constructed
    0.64
    Activations Density 0.000%

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