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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. 2-RES-JB
    11. 2395
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    WI
    -0.81
    ENC
    -0.79
    wcs
    -0.78
    tnc
    -0.77
    GMT
    -0.74
    EMENT
    -0.72
    ession
    -0.72
    ãĥ¼ãĥ«
    -0.70
    isu
    -0.70
    ANC
    -0.70
    POSITIVE LOGITS
    ovych
    0.77
    burn
    0.72
     Paint
    0.65
    thy
    0.65
    bage
    0.64
    hani
    0.64
     Ingredients
    0.63
     Expend
    0.63
     spect
    0.63
    economic
    0.62
    Activations Density 0.000%

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