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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. 7856
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    Explanations

    references to modern technology, particularly smartphones and related terms like apps and operating systems

    oai_token-act-pair · gpt-3.5-turbo

    references to specific technologies or software applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Lauder
    -0.55
    ãĤ¤ãĥĪ
    -0.55
    ascript
    -0.51
     Ambro
    -0.51
    ©¶æ
    -0.50
    ngth
    -0.50
    ictional
    -0.48
    INAL
    -0.47
     redes
    -0.47
     conclud
    -0.47
    POSITIVE LOGITS
    bra
    0.47
     ..........
    0.42
    à¨
    0.41
    ophon
    0.41
    Arcade
    0.40
    hatt
    0.40
    wat
    0.39
    anders
    0.39
    stro
    0.39
    Son
    0.38
    Activations Density 1.248%

    No Known Activations