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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. 10-RES-JB
    11. 1239
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    Explanations

    questions or requests for information in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate questions being posed or asked

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AMY
    -0.63
    Fit
    -0.62
    edition
    -0.60
    jam
    -0.58
    Torrent
    -0.58
     dotted
    -0.57
    MpServer
    -0.55
    agement
    -0.54
    ~~~~~~~~
    -0.54
    raved
    -0.53
    POSITIVE LOGITS
     whether
    1.14
     why
    1.12
     rhet
    1.09
     questions
    1.00
     if
    0.98
     how
    0.90
    why
    0.89
     about
    0.88
     Questions
    0.86
     aloud
    0.85
    Activations Density 0.030%

    No Known Activations