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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. 1-RES-JB
    11. 22110
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     compr
    -0.70
     stacking
    -0.65
    cells
    -0.64
     disadvantage
    -0.63
     *)
    -0.61
     Cir
    -0.58
     prolifer
    -0.57
    independent
    -0.57
     bases
    -0.57
    immune
    -0.57
    POSITIVE LOGITS
    ework
    0.86
    ults
    0.73
    onso
    0.69
    olph
    0.69
    OW
    0.69
     OW
    0.69
    aucus
    0.68
    OGR
    0.68
    ourge
    0.68
    ãĥ£
    0.68
    Activations Density 0.000%

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