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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. 1419
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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
    arios
    -0.81
    ":-
    -0.74
    chwitz
    -0.73
    naire
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    AIR
    -0.72
    Pitt
    -0.71
    MENTS
    -0.69
    geon
    -0.68
    arl
    -0.68
     Jagu
    -0.67
    POSITIVE LOGITS
     immersion
    0.71
     Sage
    0.63
    0.62
     Google
    0.60
    BOOK
    0.59
     emanc
    0.59
     ut
    0.58
     amplification
    0.58
    âĹ¼
    0.57
     cal
    0.56
    Activations Density 0.000%

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