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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 21244
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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
    ldom
    -0.78
    puter
    -0.77
     portfolios
    -0.69
     wart
    -0.61
     niece
    -0.61
    eatures
    -0.60
    Cong
    -0.59
     calf
    -0.59
     Lance
    -0.58
    arts
    -0.58
    POSITIVE LOGITS
    rimination
    0.71
    terday
    0.69
    20439
    0.68
    inctions
    0.65
    ensional
    0.64
    olog
    0.64
    ][/
    0.63
    hedon
    0.62
    reference
    0.62
     pseudonym
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.