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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. 4218
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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
    erial
    -0.89
    hran
    -0.81
     Sinclair
    -0.75
     Thomson
    -0.71
     Walsh
    -0.69
     Cobb
    -0.68
     Morse
    -0.67
     Siren
    -0.66
     Twain
    -0.65
     Afric
    -0.63
    POSITIVE LOGITS
    bourg
    0.77
     ire
    0.70
    ask
    0.63
    ign
    0.63
    ACH
    0.63
    avor
    0.63
     assurance
    0.62
    Die
    0.62
    sort
    0.61
    isco
    0.60
    Activations Density 0.000%

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