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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12725
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    Explanations

    articles or news related to specific events or major occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant events or recommendations

    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
    ©¶æ
    -0.82
    ©¶æ¥µ
    -0.80
    ĸļ
    -0.78
    ccording
    -0.75
     tremend
    -0.72
     Haku
    -0.71
     Hok
    -0.69
    ŃĶ
    -0.61
    é¾
    -0.61
     Caption
    -0.60
    POSITIVE LOGITS
    cum
    0.68
    ennis
    0.66
    ove
    0.62
    psc
    0.62
    fuck
    0.61
    under
    0.61
    arters
    0.60
    anqu
    0.60
    artments
    0.59
    avez
    0.59
    Activations Density 0.095%

    No Known Activations