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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. 2-RES-JB
    11. 7991
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cosponsors
    -0.70
     appar
    -0.66
     underest
    -0.64
     uncanny
    -0.61
     Explan
    -0.61
     Ars
    -0.61
     snipp
    -0.60
     implied
    -0.60
     Orwell
    -0.59
     nomine
    -0.59
    POSITIVE LOGITS
    ggles
    0.93
    pload
    0.90
    ilet
    0.82
     seize
    0.80
    iage
    0.78
    pper
    0.78
     facilitate
    0.77
     ensure
    0.77
     educate
    0.76
     maximize
    0.76
    Activations Density 0.000%

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