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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. 9-RES-JB
    11. 13211
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    Explanations

    instances where the text discusses examining or researching something in depth

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to research and examination processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    feat
    -0.69
    "},"
    -0.69
    Fourth
    -0.69
    flat
    -0.66
    Adds
    -0.66
     brunt
    -0.63
    absolute
    -0.63
     punishing
    -0.63
     delivering
    -0.60
     2024
    -0.60
    POSITIVE LOGITS
     google
    1.01
    geist
    0.85
     browse
    0.84
     quizz
    0.81
     consulted
    0.80
     reveals
    0.80
     researched
    0.80
     glance
    0.80
     browsing
    0.78
     carefully
    0.77
    Activations Density 0.296%

    No Known Activations