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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. 23291
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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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    Negative Logits
     liner
    -0.70
     leveled
    -0.66
    ãĥ¯ãĥ³
    -0.66
     discrim
    -0.65
     compounded
    -0.64
     waived
    -0.64
     applic
    -0.62
    �
    -0.62
     unequ
    -0.61
    charges
    -0.61
    POSITIVE LOGITS
    gy
    1.73
    GY
    0.88
    gypt
    0.80
    infeld
    0.76
    unal
    0.75
    idon
    0.72
    gi
    0.72
     Silent
    0.71
    veyard
    0.71
    Mesh
    0.70
    Activations Density 0.000%

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