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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. 4615
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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
    pei
    -0.94
     rall
    -0.90
    accompanied
    -0.84
    Polit
    -0.82
    cussion
    -0.76
    onto
    -0.74
    secut
    -0.74
    PLIED
    -0.72
    bah
    -0.72
    cept
    -0.72
    POSITIVE LOGITS
     deed
    0.73
     merging
    0.66
     Cube
    0.66
     schedule
    0.65
     writing
    0.65
     squat
    0.65
     angle
    0.63
     monet
    0.63
     Spectrum
    0.62
     blot
    0.62
    Activations Density 0.000%

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