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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. 2768
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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
    APTER
    -0.74
    WHERE
    -0.70
    ipel
    -0.68
    ICAN
    -0.65
     pengu
    -0.64
    UPDATE
    -0.64
    ocene
    -0.62
     register
    -0.62
    CHAPTER
    -0.61
    ndum
    -0.60
    POSITIVE LOGITS
    entimes
    0.92
     destro
    0.79
    aghan
    0.78
    uden
    0.77
     Jinn
    0.71
     Puzzles
    0.66
     Droid
    0.64
    sbm
    0.64
     Quart
    0.63
    inn
    0.63
    Activations Density 0.000%

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