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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. 24459
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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
    CHO
    -0.75
    meric
    -0.71
     Registered
    -0.71
    ospons
    -0.68
    ãĥŃ
    -0.68
    perty
    -0.67
    vette
    -0.66
     Thing
    -0.66
     Stoke
    -0.64
     Shining
    -0.63
    POSITIVE LOGITS
     grids
    0.69
     figur
    0.64
     dehydration
    0.64
     Dek
    0.63
     storms
    0.61
    Ñı
    0.60
     dams
    0.60
     erosion
    0.59
     ransom
    0.58
     agreements
    0.57
    Activations Density 0.000%

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    This feature has no known activations.