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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. 2973
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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
    ertodd
    -0.81
    alse
    -0.78
    cean
    -0.75
    stantial
    -0.75
    alde
    -0.73
    ascular
    -0.70
    oaded
    -0.70
    orsche
    -0.69
    eday
    -0.69
    ificant
    -0.68
    POSITIVE LOGITS
     weep
    0.71
    podcast
    0.71
     Jinn
    0.68
     cropped
    0.67
     virginity
    0.67
     moth
    0.66
     phil
    0.66
     charism
    0.66
    shit
    0.66
    uf
    0.64
    Activations Density 0.000%

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