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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. 7755
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    Explanations

    verbs indicating requests or inquiries

    oai_token-act-pair · gpt-3.5-turbo

    requests or demands made by individuals or entities

    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
    ccording
    -0.68
    VERTISEMENT
    -0.67
    productive
    -0.67
    namese
    -0.66
    Ranked
    -0.66
    gins
    -0.65
    nikov
    -0.62
    cutting
    -0.61
    ãĥ¼ãĥĨ
    -0.60
    ella
    -0.59
    POSITIVE LOGITS
     permission
    1.06
     rhet
    1.06
     for
    1.03
     forgiveness
    0.93
     questions
    0.84
     FOR
    0.80
    for
    0.79
     donors
    0.76
     passers
    0.76
     lenders
    0.76
    Activations Density 0.056%

    No Known Activations