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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. 22935
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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
     fingerprints
    -0.75
     client
    -0.71
     jobs
    -0.71
     certific
    -0.71
     guarant
    -0.70
     employer
    -0.70
     job
    -0.69
     paycheck
    -0.68
     clients
    -0.68
     ali
    -0.67
    POSITIVE LOGITS
    quickShipAvailable
    0.76
    oon
    0.74
    Allah
    0.73
    galitarian
    0.73
    ope
    0.71
    inventoryQuantity
    0.70
    Nit
    0.70
    DonaldTrump
    0.69
    OOOO
    0.69
    ooo
    0.69
    Activations Density 0.000%

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