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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. 23203
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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
    lyak
    -0.78
    ãĥ¥
    -0.72
    Rot
    -0.70
    Lev
    -0.69
    Fle
    -0.69
     Lev
    -0.69
    TAG
    -0.67
    tein
    -0.65
    Snake
    -0.65
     Drift
    -0.65
    POSITIVE LOGITS
    enfranch
    0.75
    eatures
    0.71
    execute
    0.69
    ilitary
    0.68
    ahan
    0.67
     estates
    0.63
    cery
    0.61
    student
    0.61
     ward
    0.61
    foreseen
    0.60
    Activations Density 0.000%

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