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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. 9577
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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
    rio
    -0.66
     Aram
    -0.65
    avis
    -0.63
    owment
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    wald
    -0.60
     Dion
    -0.60
    orian
    -0.60
    vd
    -0.59
    eryl
    -0.59
     Tyson
    -0.59
    POSITIVE LOGITS
    porate
    0.65
    女
    0.64
    abase
    0.63
    isode
    0.62
     tailor
    0.61
    linger
    0.61
     freel
    0.61
    fusc
    0.60
    iHUD
    0.59
     professionally
    0.58
    Activations Density 0.000%

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