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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. 0-RES-JB
    11. 13869
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Bris
    -0.84
    20439
    -0.78
     informants
    -0.68
    OHN
    -0.68
     unintended
    -0.65
     aux
    -0.65
     eaves
    -0.64
     OPS
    -0.64
    WARD
    -0.63
    Orig
    -0.63
    POSITIVE LOGITS
    fecture
    0.72
    indal
    0.72
    theless
    0.66
    sleep
    0.62
    amental
    0.62
    irtual
    0.61
    nesday
    0.60
    disabled
    0.60
    orget
    0.60
    cho
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.