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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. 6810
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ascular
    -0.73
     Language
    -0.63
    arily
    -0.62
     Faculty
    -0.62
     States
    -0.60
    erers
    -0.60
    ures
    -0.59
    iating
    -0.59
    come
    -0.59
     Hed
    -0.58
    POSITIVE LOGITS
    SpaceEngineers
    0.77
    agar
    0.72
    ById
    0.64
    士
    0.62
    romeda
    0.62
     gob
    0.61
    YY
    0.60
     sparing
    0.60
     pard
    0.59
    fman
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.