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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. 10616
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    INDEX
    Explanations
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    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
    ioxide
    -0.83
    kefeller
    -0.83
    emale
    -0.77
     1922
    -0.73
     1923
    -0.71
    ibaba
    -0.71
     1924
    -0.67
    velength
    -0.67
     Waves
    -0.66
    igree
    -0.66
    POSITIVE LOGITS
     ANGEL
    0.80
    ------------------------
    0.78
    MEN
    0.71
    Secondly
    0.70
    >]
    0.70
     =====
    0.70
     VIDEOS
    0.70
     --------------------
    0.69
    SW
    0.66
     hostage
    0.65
    Activations Density 0.000%

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