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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 11072
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    INDEX
    Explanations

    references to formal communication and written responses

    oai_token-act-pair · gpt-3.5-turbo

    references to journalism and media-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.57
    èĢ
    -0.57
    lust
    -0.57
    ¥µ
    -0.56
    âĪĴ
    -0.56
     unle
    -0.52
     backward
    -0.52
     intrinsically
    -0.51
    é¾įå
    -0.51
    efficient
    -0.51
    POSITIVE LOGITS
     emailed
    0.96
     enqu
    0.87
     contacting
    0.84
     contacted
    0.84
     email
    0.77
     commenter
    0.76
     info
    0.76
     pics
    0.74
     replies
    0.74
     inquired
    0.73
    Activations Density 1.044%

    No Known Activations