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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. 5520
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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
    arta
    -0.74
     debates
    -0.66
     OPEC
    -0.66
    accompan
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    ...]
    -0.63
     stages
    -0.62
     scales
    -0.62
     phases
    -0.62
     directive
    -0.60
    hematic
    -0.59
    POSITIVE LOGITS
    ĪĴ
    0.70
    beans
    0.69
    Ba
    0.64
    ighth
    0.64
     buffer
    0.63
    dden
    0.63
    Height
    0.62
    DN
    0.62
    ãĥĥãĥī
    0.62
    ridge
    0.62
    Activations Density 0.000%

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