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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. 8303
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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
     Flavoring
    -0.83
     Circ
    -0.77
     Bigfoot
    -0.74
    igm
    -0.74
     Tact
    -0.71
     Cheong
    -0.68
     Tob
    -0.67
     Fuj
    -0.67
     Magnetic
    -0.65
     Roh
    -0.65
    POSITIVE LOGITS
    taboola
    0.83
    ocating
    0.80
     delegate
    0.68
     allocation
    0.66
     beet
    0.65
     veget
    0.65
     interested
    0.64
     disarm
    0.63
    ittal
    0.62
     database
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.