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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. 3863
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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
    hire
    -0.84
    forth
    -0.74
    vana
    -0.74
    ultan
    -0.74
    rosso
    -0.72
    emonium
    -0.71
     aggregation
    -0.70
    thood
    -0.70
    habi
    -0.70
     regard
    -0.69
    POSITIVE LOGITS
    BW
    0.78
     Subtle
    0.73
     Doct
    0.72
     Hof
    0.68
     gaping
    0.68
     Jav
    0.67
     Patterson
    0.66
     Wim
    0.65
     BW
    0.64
    atis
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.