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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. 13171
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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
    OWS
    -0.96
    Topics
    -0.75
    Ko
    -0.74
    ends
    -0.74
    ById
    -0.71
    raq
    -0.70
    Topic
    -0.69
    NRS
    -0.69
    hip
    -0.68
    ETS
    -0.68
    POSITIVE LOGITS
     stronghold
    0.75
    yip
    0.73
     hars
    0.72
     sweats
    0.68
     Hast
    0.68
     assum
    0.66
    hov
    0.65
     strongh
    0.65
     stren
    0.64
     answ
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.