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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. 20874
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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
    advertisement
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    MSN
    -0.81
    govtrack
    -0.76
    Craft
    -0.74
    wat
    -0.74
    det
    -0.73
    lot
    -0.73
    hat
    -0.72
    \":
    -0.71
    hash
    -0.71
    POSITIVE LOGITS
     mouths
    0.72
    deen
    0.69
     Rican
    0.68
     endings
    0.67
     paws
    0.65
     Rip
    0.65
     volcano
    0.64
    peat
    0.64
     enthusi
    0.62
     Ek
    0.62
    Activations Density 0.000%

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