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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. 17732
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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
    yip
    -0.82
    ahead
    -0.69
    resso
    -0.66
    eur
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    Buzz
    -0.62
    ored
    -0.61
    Wire
    -0.60
    jobs
    -0.58
     offense
    -0.58
     outp
    -0.58
    POSITIVE LOGITS
    atari
    0.75
    ucc
    0.69
     ..............
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    pathic
    0.63
    mart
    0.62
     McGu
    0.61
     CLR
    0.60
     UNIVERS
    0.60
    istant
    0.59
    rete
    0.59
    Activations Density 0.000%

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