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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. 7-RES-JB
    11. 20687
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of file formats, particularly HTML, PDF, and JPG

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     governors
    -0.79
     peripher
    -0.71
    manship
    -0.70
     overfl
    -0.69
     negatives
    -0.68
     substitutes
    -0.67
     refrigerator
    -0.66
     favor
    -0.65
    iors
    -0.65
     successors
    -0.63
    POSITIVE LOGITS
    #
    1.11
    tml
    1.05
     =================================================================
    0.96
    ttp
    0.89
    [/
    0.88
    /?
    0.88
     CrossRef
    0.86
     Accessed
    0.85
     ----------------------------------------------------------------
    0.83
     Mehran
    0.80
    Activations Density 0.030%

    No Known Activations