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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. 12489
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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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    yssey
    -0.88
    ãĥīãĥ©
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    iverse
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    dayName
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    oda
    -0.69
    undai
    -0.68
    atech
    -0.67
     Isles
    -0.67
    ionics
    -0.66
     proble
    -0.66
    POSITIVE LOGITS
     McH
    0.76
     Harding
    0.74
    gerald
    0.67
     Loren
    0.63
    IME
    0.62
    lement
    0.60
     yielding
    0.59
     remaining
    0.59
     (~
    0.57
    mem
    0.57
    Activations Density 0.000%

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