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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. 4-RES-JB
    11. 20902
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kus
    -0.73
     bear
    -0.66
     weigh
    -0.66
     related
    -0.63
     mart
    -0.63
     climb
    -0.61
     Wolf
    -0.59
     rip
    -0.59
     provoking
    -0.58
     crush
    -0.58
    POSITIVE LOGITS
    NetMessage
    0.84
    fman
    0.82
    apolis
    0.77
    pees
    0.77
    notations
    0.76
    Recipe
    0.73
    heast
    0.72
    é¾įå
    0.72
    acons
    0.71
    CONCLUS
    0.70
    Activations Density 0.000%

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