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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. 1973
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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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    No Comments

    Negative Logits
    sic
    -0.79
    nos
    -0.78
    arah
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    ï¸
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    BUS
    -0.70
    QB
    -0.68
    Ļ½
    -0.68
    onyms
    -0.66
    âĢ¢âĢ¢
    -0.65
    ienne
    -0.65
    POSITIVE LOGITS
    oshenko
    0.75
    kefeller
    0.67
    etheless
    0.66
    ãĥ¼ãĥ³
    0.66
    owsky
    0.65
    riott
    0.64
     outl
    0.63
     dwar
    0.59
     Dunk
    0.59
    isSpecialOrderable
    0.57
    Activations Density 0.000%

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