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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. 7001
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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
     Berman
    -0.68
    ymes
    -0.63
     amen
    -0.63
    alog
    -0.62
     invaders
    -0.62
     defenses
    -0.61
    ka
    -0.61
    oms
    -0.61
     attendant
    -0.60
     BAS
    -0.60
    POSITIVE LOGITS
    ournal
    0.79
    orc
    0.75
    cised
    0.75
    abulary
    0.73
    ildo
    0.73
    theless
    0.72
    nor
    0.72
    whelming
    0.71
    inqu
    0.71
    ength
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.