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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. 12-RES-JB
    11. 4292
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    Explanations

    requests for information and instructions in a technological context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    information related to device connectivity and monitoring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.84
    ĸļ
    -0.77
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    ú
    -0.69
    Ē
    -0.69
    Đ
    -0.69
    Ď
    -0.69
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£
    -0.69
    ę
    -0.69
    POSITIVE LOGITS
     which
    1.32
     where
    1.13
     whether
    1.12
     how
    1.09
     what
    1.07
     Which
    1.03
    which
    1.01
     whats
    0.96
    Which
    0.96
     your
    0.95
    Activations Density 0.386%

    No Known Activations