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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. 4-RES-JB
    11. 7055
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oppers
    -0.78
    ptions
    -0.73
    akeru
    -0.71
    thia
    -0.71
    illance
    -0.70
    uddenly
    -0.70
    gregation
    -0.69
    lly
    -0.68
    ancial
    -0.68
    lication
    -0.68
    POSITIVE LOGITS
     Burk
    0.70
    -)
    0.68
    ãĤ´ãĥ³
    0.67
     Panc
    0.66
     Brooke
    0.64
     Rings
    0.64
     Elev
    0.63
     Oscar
    0.62
    MY
    0.62
     Herb
    0.62
    Activations Density 0.000%

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